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ORCIDCEC 2024: Yokohama, Japan
- IEEE Congress on Evolutionary Computation, CEC 2024, Yokohama, Japan, June 30 - July 5, 2024. IEEE 2024, ISBN 979-8-3503-0836-5
- Li Cao, Maocai Wang, Ben Parsonage, Christie Alisa Maddock, Guangming Dai:
Multi-Agent Collaborative Search with Adaptive Heuristics and Weight Vectors for Aerospace Multi-objective Optimal Control Problems. 1-8 - Robert Cowlishaw, Ashwin Arulselvan, Annalisa Riccardi:
Multi-Objective Optimisation strategy for On-Orbit Fault-Tolerant Decision Making. 1-7 - Kate Han, Truong Thanh Nguyen, Viet Anh Vu, Alan Wee-Chung Liew
, Truong Dang, Tien Thanh Nguyen:
VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System. 1-9 - Vojtech Uher, Pavel Krömer:
Fitness Landscape k-Nearest Neighbors Classification Based on Fitness Values Distribution. 1-9 - M Charity, Sam Earle, Dipika Rajesh, Mayu Wilson, Julian Togelius:
Amorphous Fortress: Exploring Emergent Behavior and Complexity in Multi-Agent 0-Player Games. 1-10 - Lisa Schönenberger, Hans-Georg Beyer:
Success Rate of Evolution Strategies on the Multimodal Griewank Function. 1-8 - João Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva:
M6GP: Multiobjective Feature Engineering. 1-8 - Prianka Dey, Abhinandan Khan, Goutam Saha, Rajat Kumar Pal:
MiRNN: A Mutual Information Augmented Recurrent Neural Network Framework for Reconstruction of Gene Regulatory Networks. 1-8 - Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang:
Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. 1-8 - Shuaixiang Zhang, Yixuan Yang, Hao Tong, Xin Yao:
Learning-Based Problem Reduction for Large-Scale Uncapacitated Facility Location Problems. 1-8 - Katarzyna Prokop, Dawid Polap:
Image segmentation enhanced by heuristic assistance for retinal vessels case. 1-6 - Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta, José Aguilar, Juan Marcos Ramirez:
A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming. 1-10 - Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan:
A Review on Evolutionary Multiform Transfer Optimization. 1-8 - Nhat Minh Le, An Vo, Ngoc Hoang Luong:
Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search. 1-8 - Qianhui Wang, Qingling Zhu, Junkai Ji:
Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization. 1-8 - Ananda Sutradhar, Azam Asilian Bidgoli, Shahryar Rahnamayan:
COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals. 1-8 - Ankur Sinha, Dhaval Pujara, Hemant Kumar Singh:
Decomposition of Difficulties in Complex Optimization Problems using a Bilevel Approach. 1-8 - Zhenyuan Li, Xiaoliang Ma, Zexuan Zhu, Yueyue Li:
Expensive Optimization Based on Evolutionary Multi-Tasking and Hybrid Restart Strategy. 1-9 - Noah Sealy, Malcolm I. Heywood:
Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept. 1-8 - Thai Bao Tran, Ngoc Hoang Luong:
Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients. 1-8 - Weidong Wu, Xiaoyan Sun, Yong Zhang, Wei Song:
Dynamic Multi-Task Interactive Evolutionary Optimization Algorithm with Search Space Alignment. 1-8 - Takumi Abe, Yoshikazu Fukuyama:
Improved Discrete Cat Swarm Optimization for Optimal Multi-Trip Vehicle Routing in Case of a Natural Disaster. 1-8 - Faten Sebri, Rocío Pérez de Prado, Zaki Brahmi:
MVBA\_TSC: Majority Voting and Bayesian Average-Based Trustful Service Composition in Cloud and Edge Environments. 1-8 - Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. 1-8 - Antonio Della Cioppa, Angelo Marcelli, Antonio Iannaccone:
Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease. 1-7 - Julian Szymanski, Jan Dobrosolski, Higinio Mora, Karol Draszawka:
Neural network agents trained by declarative programming tutors. 1-7 - Jakub Kudela, Martin Jurícek, Roman Parák, Alexandros Tzanetos, Radomil Matousek:
Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. 1-8 - Yongcun Liu, Handing Wang, Jingjing Ma:
Infill Criterion Ensemble in Multi-Objective Evolutionary Algorithm for Mixed-Variable Problems. 1-8 - Yuyang Zhou, Ferrante Neri, Ruibin Bai:
Characterising Deep Learning Loss Landscapes with Local Optima Networks. 1-8 - Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-Stage Evolutionary Framework for Multi-Objective Optimization. 1-7 - Elias A. D. Silva, Lucas S. Palmeira, Marcelo A. Garcia-Júnior, Luiz G. A. Martins, Yaochu Jin, Bruno S. Andrade, Robinson Sabino-Silva, Murillo G. Carneiro:
A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus. 1-8 - Guoyuan Zhou, Guoliang Li:
Forecasting Soil Moisture Using PSO-CNN - LSTM Model. 1-7 - Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang:
Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms. 1-8 - Jiangtao Shen, Huachao Dong, Peng Wang, Xinjing Wang, Wenxin Wang:
Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking Optimization. 1-8 - Soo Ling Lim, Peter J. Bentley, Fuyuki Ishikawa:
SCAPE: Searching Conceptual Architecture Prompts using Evolution. 1-8 - Keigo Mochizuki, Tomoki Ishizuka, Naoya Yatsu, Hiroyuki Sato, Keiki Takadama:
Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems. 1-8 - Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions Using Multi-Objective Optimization. 1-8 - Lin Liu, Yuan Yuan:
Effective Training of PINNs by Combining CMA-ES with Gradient Descent. 1-8 - Artem Pavlenko, Alexander A. Semenov:
Using Island Model in Asynchronous Evolutionary Strategy to Search for Backdoors for SAT. 1-7 - Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies:
A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection. 1-8 - Chun-Wei Tsai, Cheng-Hao Lin, Wei-Hong Wang:
An Effective Algorithm Based on Space Net Optimization for Multi-Objective Optimization. 1-8 - Ben Parsonage, Christie Alisa Maddock:
Biased Dyadic Crossover for Variable-Length Multi-Objective Optimal Control Problems. 1-9 - Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala:
Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem. 1-8 - Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato:
Designing Helper Objectives in Multi-Objectivization. 1-8 - Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
Evaluating Machine Learning Techniques for Predicting Salinity. 1-8 - Yang Nan, Hisao Ishibuchi, Tianye Shu:
Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. 1-6 - Yogesh Kumar, Kusum Deep:
Performance of Beta Mutation on CEC 2017 and CEC 2022 Benchmarks. 1-8 - Noha M. Hamza, Ruhul A. Sarker, Daryl Essam, Saber M. Elsayed:
Constraint Consensus for Solving Large-scale Constrained Optimization Problems. 1-8 - Tran Thi Hue, Bao Nguyen, Quoc Nguyen, Pham Phu Manh, Nguyen Khanh Phuong, Huynh Thi Thanh Binh, Dang Quang Thang:
The Vehicle Routing Problem with Drones and Flexibility Demands. 1-8 - Fraser Borrett, Mark Beckerleg:
The Virtual Programmable Logic Device, a Novel Machine Learning Architecture. 1-8 - Liqun Wen, Hongfeng Wang:
A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems. 1-8 - Zhi Liu, Wei Song, Mingshuo Song:
Neural Network-Assisted Particle Swarm Dynamic Optimization. 1-8 - Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. 1-8 - Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. 1-8 - Haiwei Wang, Yongchao Chen, Chenchen Zhang, Yaqing Hou, Xiangrong Tong, Qiang Zhang:
Enhancing Imbalanced Classification with Support Vector Machines via Evolutionary Oversampling Algorithms. 1-8 - Claudio Toquinho Campana, Francesco Topputo:
Clustering of Earth-Moon transfers in Sun-perturbed environment. 1-8 - Sugandha Rathi, Deepti Mehrotra, Renuka Nagpal, Gautam Srivastava:
Dynamic Multi-Workflow Scheduling: A Comparative Analysis of Real-time Data. 1-6 - Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. 1-8 - Günter Rudolph, Markus Wagner:
Towards Adaptation in Multiobjective Evolutionary Algorithms for Integer Problems. 1-8 - Anirudh Suresh, Kalyanmoy Deb:
On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making. 1-8 - Hongyu Lin, Jing J. Liang, Caitong Yue, Yaonan Wang:
A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization. 1-8 - Wenwen Liu, Shiu Yin Yuen, Chi Wan Sung:
A Hybrid CMAES Method with Convex Hull Surrogate Model. 1-8 - Carlos Felipe Coello Castillo, Carlos A. Coello Coello:
A Survey of Applications of Multi-Objective Evolutionary Algorithms in Biotechnology. 1-8 - Romain Mannini, Julien Eynard, Stéphane Grieu:
Predictive Control of a Multi -energy Building-integrated Microgrid: A Case Study. 1-8 - Yu-Cheng Su, Yi-Ruei Chen, Chuan-Kang Ting:
Enabling Dual Subpopulations and Clustering for Multimodal Multiobjective Optimization. 1-8 - Yifan He, Claus Aranha:
Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming. 1-8 - Masato Nishikubo, Isao Ono:
Natural Evolution Strategy for Black-Box Function Optimization with Implicit Constraint. 1-8 - Ye Tian, Lianjie Yao, Shuai Shao, Yajie Zhang, Xingyi Zhang:
Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization. 1-8 - Fergal Stapleton, Edgar Galván:
NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. 1-8 - Toshio Ito, Shizuko Matsuzoe, Tadashi Iwahashi, Hisatoshi Yamaoka, Miwa Ueki, Kota Nagakane, Hideaki Morozumi, Koki Ikeda, Isao Ono:
A Method for Revealing Implicit Emphasized Criteria for Decision Makers on Social Issues. 1-9 - Xiaoying Yang, Yujing Gu, Fuhua Jia, Yiran Li, Hongru Wang, Nanjiang Du, Tianxiang Cui, Yujian Ye, Ruibin Bai:
Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation. 1-9 - Tu-Chin Chiang, Chi-Hsien Chang, Tian-Li Yu:
A Novel Symbolic Regressor Enhancer Using Genetic Programming. 1-8 - Ryo Takano:
Multi-Object Tracking as Continuous Dynamic Environment and its Exploration by Particle Swarm Optimization. 1-8 - Archit Sharma, Sandeep Gupta, Peeyush Thakur, Narendra Kumar Dhar, Laxmidhar Behera:
Evolutionary Search of Optimal Hyperparameters for Learning Various Robot Manipulation Tasks. 1-8 - Christina Plump, Daniel Christopher Hoinkiss, Jörn Huber, Bernhard J. Berger, Matthias Günther, Christoph Lüth, Rolf Drechsler:
Finding the perfect MRI sequence for your patient - Towards an optimisation workflow for MRI-sequences. 1-9 - Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña:
IDEL: An Improved Differential Evolution with Lissajous Mutation. 1-8 - Yuan Tian, Yi Mei, Mengjie Zhang:
Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. 1-8 - Tomoya Matsuki, Akira Notsu, Katsuhiro Honda, Takuya Kato, Masakazu Shibahara:
Control of JADE Population in Limited Number of Searches for Realistic Situations. 1-8 - Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang:
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. 1-8 - Jianqing Lin, Cheng He, Xueming Liu, Linqiang Pan:
Reference Vector Guided Variables Selection for Expensive Large-Scale Multiobjective Optimization. 1-8 - Ayu Karasudani, Masaki Ishihara, Tatsuya Yamaguchi, Ayaka Oka, Yu Hasome, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Shogo Maeda, Yuko Nakamura, Toru Higaki, Kazuo Awai:
Lightweight Detection Architecture Adapted to Small Lesions Using Multiscale Sampling Method. 1-8 - Oumaima Laguili, Julien Eynard, Stéphane Grieu:
Nonlinear Model-Based Predictive Control of Electric Water Heaters in Individual Dwellings. 1-8 - Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang:
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. 1-8 - Ayane Tajima, Satoshi Ono:
EvoIBA: Evolutionary Boundary Attack Under Hard-Label Black Box Condition. 1-8 - Haoyuan Lv, Ruochen Liu, Handing Wang:
Multi-Population Evolutionary Algorithm via Seed Transfer for Multitasking Traveling Salesman Problem. 1-8 - Miha Ravber, Marjan Mernik, Shih-Hsi Liu, Marko Smid, Matej Crepinsek:
Confidence Bands Based on Rating Demonstrated on the CEC 2021 Competition Results. 1-8 - Jesús Guillermo Falcón-Cardona, Mahboubeh Nezhadmoghaddam, Emilio Bernal-Zubieta:
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization. 1-8 - David Hutter, Michael Hellwig, Thomas Steinberger:
An Interior-point Genetic Algorithm with Restarts for Flexible Job Shop Scheduling Problems. 1-9 - Shanfeng Wang, Zaitian Liu, Jianzhao Li, Maoguo Gong, Rui Yang:
Evolutionary Multitasking Collaborative Neural Architecture Search for Scene Classification. 1-8 - Chen Li, Zidong Han, Jinrong Jiang, Lian Zhao, Yidi Bai, Zhonghua Lu, Xuebin Chi:
Generative Evolution Attacks Portfolio Selection. 1-8 - Mohssen E. Elshaar, Mohammed R. Elbalshy, A. Hussien, Mohamed A. Abido:
Path Planning in a dynamic environment using Spherical Particle Swarm Optimization. 1-8 - Pablo H. De Freitas, Murillo G. Carneiro, Thiago P. Protasio, Delman A. Gonçalves, Rodrigo O. V. Miranda, Alvaro A. V. Soares, Luiz G. A. Martins:
Prediction of Managed Forest Growth Based on Machine Learning and Cellular Automata. 1-8 - Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos G. Hadjimitsis:
Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments. 1-8 - Wilfried Segretier, Erick Stattner, David Couvin, Nalin Rastogi:
Prediction of Mycobacterium Tuberculosis Lineages from Annotated Whole Genome Sequences: An Evolutionary Approach. 1-6 - Parth C. Upadhyay, Guilherme N. DeSouza, John A. Lory:
Sequential Transfer with Multi-Objective Genetic Algorithm for Feature Selection of Small, High-Dimensional Datasets. 1-8 - Julio Juárez, Carlos A. Brizuela, Hugo Terashima-Marín, Carlos A. Coello Coello:
Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks. 1-8 - Haoran Gu, Handing Wang, Jingjing Ma:
Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization. 1-8 - Takafumi Fukase, Yuta Kobayashi, Claus Aranha:
Extending Lexicase DE for a Multi-Niche Constraint Satisfaction Industrial Design Problem. 1-7 - Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Rafael Rivera-López, Héctor-Gabriel Acosta-Mesa:
Computational Cost Reduction in Wrapper Approaches for Feature Selection: A Case of Study Using Permutational-Based Differential Evolution. 1-8 - Xinggui Ye, Jianping Li, Peng Wang:
Enhanced Multi-Scale Quantum Harmonic Oscillator Algorithm with Opposition-based Learning. 1-8 - Shu-Yu Kuo, Yu-Chi Jiang, Ching-Hsuan Wu, Cheng-Yen Hua, Yun-Ting Lai, Yao-Hsin Chou:
An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model. 1-9 - Abdennour Azerine, Ammar Oulamara, Michel Basset, Lhassane Idoumghar:
Improved Methods for Solving the Electric Vehicle Charging Scheduling Problem to Maximize the Delive. 1-8 - Marko Ðurasevic, Mateja Ðumic, Francisco Javier Gil Gala:
Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem. 1-8 - José Luis López Ruiz, José-María Jiménez-Villar, Antonio-Pedro Albín-Rodríguez, Macarena Espinilla Estévez:
Indoor Area Location System Using UWB Technology and Axis-Linear Bounding Boxes. 1-8 - Aakansha Agarwal, Satyasai Jagannath Nanda:
Dynamic NSGA-III with KRR-ANOVA Kernel Predictor for In-Motion Sonar Image Segmentation. 1-8 - Chenwei Jin, Ruibin Bai, Huayan Zhang:
Evolving Priority Rules for Online Yard Crane Scheduling with Incomplete Tasks Data. 1-10 - Nguyen Thi Tam, Tran Ho Khanh Ly, Bui Trong Duc, Tran Huy Hung, Huynh Thi Thanh Binh:
Multi-Objective Virtual Network Functions Placement and Traffic Routing Problem. 1-8 - Kehinde Owoeye:
Graph Neural Network with Quasi - Data Augmentation for Modelling Food Web Relationships. 1-8 - Mariusz Pleszczynski:
Using Selected Heuristic Algorithms in Solving Nonlinear Differential Equations. 1-6 - José Eduardo Henriques da Silva, Heder S. Bernardino, Itamar Leite de Oliveira, José J. Camata, Patrick C. de Carvalho:
Inferring Gene Regulatory Networks from Single-Cell RNA-Sequencing Experimental Data using Cartesian Genetic Programming. 1-8 - Saiful Islam, Sanaz Mostaghim, Michael Hartmann:
A Survey on Multi-Objective Optimization in Microgrid Systems. 1-8 - Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
Prototype Generation with the sUpervised Classifier System on kNN Matching. 1-8 - Chang-Tao Feng, Ya-Hui Jia, Qiang Yang, Wei-Neng Chen, Huaiguang Jiang:
A Bilevel Hybrid Genetic Algorithm for Capacitated Electric Vehicle Routing Problem. 1-8 - Matthieu Basseur, Arnaud Liefooghe, Sara Tari:
MOW-P: A Simple yet Efficient Partial Neighborhood Walk for Multiobjective Optimization. 1-8 - Chunlong Hai, Jiazhen Wang, Liquan Mei:
A Surrogate-Assisted Clustering-Based Evolutionary Algorithm for Expensive Optimization. 1-8 - Yao-Hsin Chou, Yun-Ting Lai, Yong Feng Tong, Alvin Young, Ming-Ho Chang, Kun-Min Wu, Yu-Chi Jiang, Shu-Yu Kuo:
A Quantum-Inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network. 1-8 - Yifan Liu, Ying Tan:
Improved Discrete Fireworks Algorithm for Large Scale Knapsack Problem. 1-10 - Alexandre Mascarenhas, Yuta Kobayashi, Claus Aranha:
Novel Genotypic Diversity Metrics for Real-Coded Optimization on Multi-Modal Problems. 1-8 - Yuto Inokuchi, Pedro Henrique González, Israel Mendonça, Masayoshi Aritsugi:
Optimization of Node Reduction Using BRKGA for GNN-Based Traffic Speed Forecasting. 1-8 - Jacek Czupyt, Mikolaj Malkinski, Jacek Mandziuk:
Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess. 1-10 - Sara Pérez-Carabaza, Akemi Gálvez, Andrés Iglesias:
Ant Colony Based Dynamic Voronoi Method for the Multi-Depot Multiple TSP. 1-8 - Safa Mahouachi, Maha Elarbi, Khaled Sethom, Slim Bechikh, Carlos A. Coello Coello:
A Bi-Level Evolutionary Model Tree Induction Approach for Regression. 1-9 - Karla Salamun, Hrvoje Dzapo:
A Cooperative Coevolutionary Approach to Designing Acceptance Tests for Jobs With Weakly Hard Real- Time Constraints. 1-8 - Youhua Zhou, Xueming Yan, Han Huang, Haowen Yan, Minghao Chen:
Legal Text Retrieval with Contrastive Representation Learning and Evolutionary Data Augmentation. 1-7 - Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils:
An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth. 1-8 - Hendrik Richter, Paul Moritz Nörenberg:
Random and Chaotic Sequences, and the Effect of their Distributions on PSO Performance. 1-8 - Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji, Dugang Liu, Victor C. M. Leung, Jianqiang Li:
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization. 1-8 - Radomil Matousek, Tomas Hulka, René Pierre Lozi, Jakub Kudela:
Semi-Stable Periodic Orbits of the Deterministic Chaotic Systems Designed by means of Genetic Programming. 1-7 - Péricles B. C. Miranda, Jesús Giráldez-Cru, Moésio Wenceslau da Silva Filho, Carmen Zarco, Oscar Cordón:
Learning Agents' Behavioral Patterns in Agent-Based Modeling by Means of Evolutionary Algorithms. 1-8 - Yasin Mamatjan:
Pan-Cancer Classification System with Explainable AI Interpretation: A Feasibility Study. 1-6 - Andrea Tangherloni, Vasco Coelho, Francesca M. Buffa, Paolo Cazzaniga:
A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems. 1-8 - Wenqiang Ma, Yaqing Hou, Hua Yu, Xiangrong Tong, Zexuan Zhu, Qiang Zhang:
Similar Locality Based Transfer Evolutionary Optimization for Minimalistic Attacks. 1-8 - Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya, Juan Gabriel Aviña-Cervantes:
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. 1-8 - Grzegorz Rypesc, Grzegorz Kurzejamski:
ESC: Evolutionary Stitched Camera Calibration in the Wild. 1-8 - Lin Gao, Yu Zhou, Hainan Guo, Sam Tak-Wu Kwong:
A Multiobjective Particle Swarm Optimizer based Localized Feature Selection for Imbalanced Fault Diagnosis. 1-8 - Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. Miranda, Ferrante Neri:
An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. 1-8 - Ishara Hewa Pathiranage, Aneta Neumann:
Multi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling. 1-8 - Moritz D. Pinheiro-Torres Vogt, Markus Huwald, Mohamed Khalil Ben Larbi, Enrico Stoll:
FlexKalmanNet: A Modular AI-Enhanced Kalman Filter Framework Applied to Spacecraft Motion Estimation. 1-8 - Francisco M. Caldas, Cláudia Soares:
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. 1-8 - Jiajia Zhang, Chaoli Sun, Guochen Zhang, Jing Li, Hui Shi, Zongchao Xie:
Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization. 1-9 - Chun-Yien Chang, Ying-ping Chen:
Revisiting the Formation of Harmonic Progressions from the Perspective of Voice-Leading with Evolutionary Computation. 1-8 - Helga Ingimundardottir, Thomas Philip Runarsson:
Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production. 1-8 - Lu Wang, Chaoli Sun, Guochen Zhang, Kaili Zhao, Hui Shi, Zongchao Xie:
Surrogate Assisted Large-Scale Expensive Optimization With Difference-Based Infill Criterion. 1-8 - Yuma Horaguchi, Masaya Nakata:
A Dual Surrogate-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems. 1-8 - Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov:
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. 1-8 - Bestoun S. Ahmed:
An Adaptive Metaheuristic Framework for Changing Environments. 1-10 - Yunpeng Ba, Ruihao Zheng, Zhenkun Wang:
Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem. 1-8 - Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang:
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling. 1-8 - Shufen Qin, Chaoli Sun, Zongchao Xie:
Expensive Many-objective Optimization Assisted by Adaptive Modeling. 1-8 - Tarek Kunze, Paul Templier, Dennis G. Wilson:
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks. 1-8 - Yudai Tagawa, Hernán E. Aguirre, Kiyoshi Tanaka:
Distributed Bit Climbing Algorithm for Binary Multi-objective Optimization. 1-8 - Yossathorn Tianrungroj, Hitoshi Iba:
ROIL: Rule Optimization via Large Language Model for Imitation Learning. 1-8 - Hui Li, Yanhui Tang, Yuxiang Shui, Jianyong Sun:
A Q-learning Evolutionary Multiobjective Framework for Multiobjective Optimization with Separable and Interacting Variables. 1-8 - Michael Dubé, Sheridan K. Houghten, Steffen P. Graether:
Promoting Diversity in the Evolution of Biological Sequence Data. 1-7 - Wenping Wang, Yang Zhang, Shuwei Zhu, Meiji Cui:
A Novel Subspace Construction Method for Large-Scale Evolutionary Multi-Objective Optimization. 1-8 - Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang:
An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. 1-8 - Qiqi Xia, Jin Wang, Chengqiang Huang, Xin Yao:
Reliability-Aware Network Slicing based on Multi-Objective Optimization. 1-8 - Takuma Onagi, Kazunori Mizuno, Koichiro Sato:
Effectiveness of an ACO Algorithm with Levy Flight for Large-Scale Constraint Satisfaction Problems. 1-7 - Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo, Ching-Ray Chang:
Hybrid Quantum Annealing with Innovative Trend Ratio Model for Portfolio Optimization. 1-8 - Weimin Chen, Yuxin Liu, Jin Liu:
The Multi-Objective Vehicle Routing Problems with Parcel Lockers for Simultaneous Pick-Up and Delivery. 1-8 - Zhenya Diao, Fei Yu, Jian Guan, Meitong Liu:
An Enhanced Particle Swarm Algorithm Based on Fitness Landscape Information. 1-8 - Tomohiro Harada, Enrique Alba, Gabriel Luque:
Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis. 1-8 - Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. 1-9 - Luis Sánchez, Víctor Rodríguez-Fernández, Massimiliano Vasile:
Robust Classification with Belief Functions and Deep Learning Applied to STM. 1-8 - Sajjad Kazemi, Nasser L. Azad, Katharine Andrea Scott, Haroon B. Oqab, George B. Dietrich:
Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization. 1-9 - Zhongneng Zhang, Xianqi Chen, Yufeng Xia, Wen Yao, Weien Zhou, Yu Li, Bingxiao Du:
The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design. 1-8 - Nikolaos L. Tsakiridis, Nikiforos Samarinas, Eleni Kalopesa, John B. Theocharis, George C. Zalidis:
Enhanced Soil Property Estimations from Earth Observation Data with Differential Evolution-Based Multi-Objective TSK Model. 1-8 - Son Tran Thai, Rui Jorge Almeida, Christof Defryn, Inneke Van Nieuwenhuyse:
Synchronous Parallel Heuristics for Solving the Joint Order Batching and Picker Routing Problem. 1-8 - Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert:
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. 1-8 - Xiang Meng, Yan Pei, Hideyuki Takagi:
Evolutionary Multi - Modal Optimization Using Persistence-Based Clustering in Riemannian Manifolds. 1-8 - Hongze Wang, Jinxin Zhang:
A Multi-Modal Multi-Objective Evolutionary Algorithm Considering Boundary Information. 1-8 - Gustavo de Jesús Machado-Guillén, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Katarzyna Filus:
Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey. 1-8 - Seyed Mohamad Ali Tousi, Guilherme N. DeSouza:
Outlier Interpretation Using Regularized Auto Encoders and Genetic Algorithm. 1-8 - Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. 1-8 - Balija Santoshkumar, Kalyanmoy Deb:
Surrogate-Assisted Multi-Objective Optimization for Handling Objectives with Heterogeneous Evaluation Times: Unconstrained Problems. 1-8 - Xunfeng Wu, Songbai Liu, Junkai Ji, Lijia Ma, Victor C. M. Leung:
A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation. 1-8 - Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Interactive Final Solution Selection in Multi-Objective Optimization. 1-9 - Hendrik Richter, Sarah L. Thomson:
Information Flow and Laplacian Dynamics on Local Optima Networks. 1-8 - Jing-Yu Ji, Sen Yang, Kwan-Yeung Lee, Billy Chiu, Man Leung Wong, Sam Kwong:
An Improved Gradient-Based Repair Method for Constrained Numerical Optimization. 1-8 - Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi:
Full Inclusive Genetic Programming. 1-8 - Ye Tian, Qinghui Zhu, Shuai Shao, Langchun Si, Xingyi Zhang:
A Deep Reinforcement Learning Assisted Heuristic for Solving Traveling Salesman Problems. 1-8 - Jiten Parmar, Naveen Saini, Dhananjoy Dey:
An Unsupervised Evolutionary Approach for Indian Regional Language Summarization. 1-8 - Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan:
Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. 1-8 - Yuelang Sun, Matthew Kuo, Xiaodan Wang, Weihua Li, Quan Bai:
Emotion-Conditioned MusicLM: Enhancing Emotional Resonance in Music Generation. 1-8 - Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén:
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. 1-8 - Yixia Zhang, Yu Xue, Ferrante Neri:
Multi-Optimiser Training for GANs Based on Evolutionary Computation. 1-8 - Richard J. Licata, Piyush M. Mehta:
Deep Learning Based Nonlinear Dimensionality Reduction for Emulators of Numerical Thermosphere Density Models. 1-9 - Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov:
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. 1-8 - Yiming Yao, Fei Liu, Qingfu Zhang:
High-Throughput Multi-Objective Bayesian Optimization using Gradients. 1-8 - Ehab Zaki Elfeky, Gregory Sherman, Saber M. Elsayed, Md. Hedayetul Islam Shovon, Riley Lodge, Benjamin Campbell, Daryl Essam, Ruhul A. Sarker:
Differential Evolution Algorithm for Battlefield Surveillance Sensor Placement. 1-9 - Farnaz Kheiri, Azam Asilian Bidgoli, Masoud Makrehchi, Shahryar Rahnamayan:
Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences. 1-8 - Yiheng Chen, Kai Huang, He Wang, Yuqing Zhang:
NMT vs MLM: Which is the Best Paradigm for APR? 1-7 - Cláudio André Da Silva Alves, Israel Mendonça, Vanessa de Almeida Guimarèes, Pedro Henrique González:
ACO With Reinforcement Learning Applied to Rescues Operations on Urban Forests. 1-8 - Julia Borisova, Nikolay O. Nikitin:
Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting. 1-8 - Joe Jonas Vogel, Paulo Barbato Fogaça de Almeida, Paulo Lilles Jorge Drews Junior, Crístofer Hood Marques, Jônata Tyska Carvalho:
Optimizing Maritime Propeller Design with Continuous Evolutionary Algorithms. 1-8 - Yuki Hanawa, Tomohiro Harada, Yukiya Miura:
Analysis of the Impact of Prediction Accuracy on Search Performance in Surrogate-assisted Evolutionary Algorithms. 1-8 - Andrey Getmanov, Nikolay O. Nikitin:
Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines. 1-8 - Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Combinatorial Optimization by Means of Partial Solution Strategies. 1-8 - Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. 1-8 - Jing Liu, Saber M. Elsayed, Daryl Essam, Ruhul A. Sarker, Ivan L. Garanovich, Terence Weir:
Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics. 1-8 - João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva:
Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. 1-8 - Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato:
Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization. 1-8 - Zhen Liu, Jinglue Xu, Hitoshi Iba:
Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map. 1-10 - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. 1-9 - Siddartha Reddy, Sai Prakash MV, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina:
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. 1-8 - Jiacheng Yang, Yuanda Wang, Lu Dong, Xin Yuan:
Reinforcement Learning with Safe Action Generation for Autonomous Racing. 1-8 - En-Chun Kuo, Yea-Huey Su:
Assembling Fragmented Domain Knowledge: A LLM-Powered QA System for Taiwan Cinema. 1-8 - Chengxin Wen, Lihua Li, Hongbin Ma:
A Hypervolume Contribution Approximation Method Based on Angular Points. 1-8 - Zihan Gao, Cheng He, Chuanji Zhang, Hongbin Li:
Balancing Convergence and Diversity in Meta-Heuristics for Calibration of Instrument Transformers. 1-8 - Jin Zhou, David Chieng, Boon-Giin Lee, Junkai Ji, Jianqiang Li:
Many Objectives Autonomous Robot Path Planning with Improved MOEA/D. 1-8 - Chengyu Lu, Yilu Liu, Qingfu Zhang:
MOEA/D-CMA Made Better with (l+l)-CMA-ES. 1-8 - Farzaneh Nikbakhtsarvestani, Shahryar Rahnamayan, Mehran Ebrahimi:
Opposition-based Multi-Objective ADAM Optimizer (OMAdam) for Training ANNs. 1-10 - Zhaojun Wang, Chenwen Ding, Wenji Li, Yifeng Qiu, Jiafan Zhuang, Dong Chen, Biao Xu, Yun Li, Zhun Fan:
Well Trajectory Design Based on Constrained Many-Objective Optimization Algorithms. 1-8 - Yinghao Qin, Jun Chen:
A Confidence-based Bilevel Memetic Algorithm with Adaptive Selection Scheme for Capacitated Electric Vehicle Routing Problem. 1-10 - Takahiro Sato:
A Data-Driven Optimization Method for Strongly Non-Separable Mixed-Integer Problems. 1-8 - Rui Leite, Hernán E. Aguirre, Kiyoshi Tanaka:
Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary Computation. 1-8 - Enrique Bermejo Nievas, Oscar Cordón, Javier Irurita, Inmaculada Alemán, Ángel Rubio Salvador:
Age-at-Death Estimation based on Symbolic Regression Ensemble Learning from Multiple Annotations. 1-8 - Jiao Liu, Yew Soon Ong, Melvin Wong:
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. 1-8 - Shanu Verma, Millie Pant:
ACSLs for Large-Scale Bounded Single Depot Multiple Travelling Salesman Problem. 1-8 - José Miguel Aragón-Jurado, Javier Jareño, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro:
Two-Level Software Obfuscation with Cooperative Co-Evolutionary Algorithms. 1-8 - Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Black-Box Optimization Based Adaptive Image Anonymization. 1-8 - Fan Fan, Yilei Shi, Xiao Xiang Zhu:
Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model. 1-7 - Kosei Kobayashi, Masayoshi Aritsugi, Pedro Henrique González, Israel Mendonça:
Efficient Hyperparameter Optimization Using Deep Q-Network and BRKGA. 1-8 - Mardé Helbig:
Dynamic Multi-objective Optimisation Problems with Changes of Varying Frequency and Severity. 1-8 - Thalis Papakyriakou, Andreas Pamboris, Andreas Konstantinidis:
A Bi-Level Multi-Objective Energy Management System for Renewable Energy Self-Consumption. 1-10 - Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. 1-8 - Saleh Almohaimeed, Saad Almohaimeed, Liqiang Wang:
GAT-SQL: An Advanced Prompt Engineering Approach for Effective Text-to-SQL Interactions. 1-10 - Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi:
A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification. 1-8 - Prafulla Kalapatapu, Ishaan Chigilli Palli, Ravi Teja Gangavarapu, Arya Kumar Bhattacharya, Nartkannai K:
Emotion Aligned Music Composition from Sound Fundamentals Using Differential Evolution. 1-8 - Zhenhua Yang, Muyao Zhong, Peng Yang:
Evolutionary Dynamic Optimization-Based Calibration Framework for Agent-Based Financial Market Simulators. 1-8 - Peng Wu, Shuai Shao:
A Time Window Sequence-Based Evolutionary Algorithm for Solving Large-Scale Daily Task Planning Problems. 1-8 - Xun Shen:
Chance Constrained Optimization for Wind Power Curve Fitting with Unclean Data. 1-8 - Gerardo Ibarra-Vázquez, Hugo Terashima-Marín, Carlos A. Coello Coello:
Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems. 1-8 - Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan:
On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. 1-8 - Naru Okumura, Keiki Takadama, Hiroyuki Sato:
Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation. 1-8 - Takashi Ikeguchi, Shun Sudo, Yuji Koguma, Masaya Nakata:
A Random Forest-Assisted Local Search for Expensive Permutation-based Combinatorial Optimization Problems. 1-8 - Maciej Swiechowski:
Fuzzy Utility AI for Handling Uncertainty in Video Game Bots Implementation. 1-8 - Shabadini Sampath, Jinglang Feng:
Neural Network-based Synchronisation of Free-Floating Space Manipulator's Joint Motion and Mother Spacecraft's Attitude for Active Debris Removal. 1-10 - Kazuma Sato, Naru Okumura, Keiki Takadama, Hiroyuki Sato:
Should Multi-objective Evolutionary Algorithms Use Always Best Non-dominated Solutions as Parents? 1-8 - Sen Yang, Zusheng Tan, Jing-Yu Ji, Haoran Xie, Man Leung Wong, Sam Kwong:
Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization. 1-8 - Hanyu Zhang, Lixin Tang, Xiangman Song, Te Xu:
NSMD-NAS: Retinal Image Segmentation with Neural Architecture Search and Non-Subsampled Multiscale Decomposition. 1-8 - Giovanni Acampora, Autilia Vitiello:
Improving Quantum Genetic Algorithms through Recursive Search Space Exploration. 1-8 - Wei Liu, Thomas Bäck, Yingjie Fan:
Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization. 1-8 - Junwei Pang, Yi Mei, Mengjie Zhang:
Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules. 1-8 - Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, Jun Zhao, Wei Wang:
Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework. 1-8 - Eric O. Scott, Kenneth A. De Jong:
Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer. 1-8 - Jakub Kudela, Ladislav Dobrovsky, Mhd Ali Shehadeh, Tomas Hulka, Radomil Matousek:
Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals. 1-8 - Antonio M. Mora, J. Victoria-Mohammed, Nuria Medina-Medina, Juan F. Valenzuela-Valdés:
Applying Evolutionary Algorithms for Service Function Chaining in 5G Networks. 1-8 - Florian Rupp, Kai Eckert:
GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms. 1-8 - Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin:
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. 1-8 - Mayte H. Laureano, Hiram Calvo:
Computational Study of Dream Interpretations: Psychoanalytic Human vs Artificial Analyses. 1-9 - Huoyuan Wang, Jing Jiang:
A Two-Stage Optimization Framework for Sparse Large-Scale Multiobjective Optimization. 1-8 - Amir Omeradzic, Hans-Georg Beyer:
Bias in Standard Self-Adaptive Evolution Strategies. 1-8 - Yanyan Tan, Zhaomin Zhai, Yukun Zhang:
A Dual-Model Assisted Evolutionary Algorithm Based on Decomposition for Expensive Multi-Objective Optimization. 1-8 - Ritam Guha, Kalyanmoy Deb:
Scalable Polynomial RegEM(a)O for Multi-lMany-objective Platform-based Design Optimization Problems. 1-8 - Chengwei He, Huaping Hong, Lijia Ma, Qingling Zhu, Yuan Bai:
Intelligent Blocking and Prevention of SARS-CoV-2 Based on Evolutionary Reinforcement Learning. 1-8 - Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc:
Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. 1-8 - Zdenek Vasícek:
Automated Synthesis of Commutative Approximate Arithmetic Operators. 1-8 - Alyssa M. Adams, Eliott Jacopin, Praful Gagrani, Olaf Witkowski:
An Open-Ended Approach to Understanding Local, Emergent Conservation Laws in Biological Evolution. 1-8 - Alistair Benford, Markus Olhofer, Tobias Rodemann, Per Kristian Lehre:
Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms. 1-8 - Miguel A. Jiménez-Domínguez, Néstor A. García-Rojas, Saúl Zapotecas Martínez, Raquel Díaz-Hernández, Leopoldo Altamirano Robles:
Exploring Multi-Objective Evolutionary Approaches for Path Planning of Autonomous Mobile Robots. 1-8 - Hiroki Sayama:
Non-Spatial Hash Chemistry as a Minimalistic Open-Ended Evolutionary System. 1-7 - Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata:
Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. 1-8 - Ning Yang, Hai-Lin Liu, Lei Chen, Yuping Wang, Yiu-ming Cheung:
A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search. 1-7 - Tadashi Onishi, Mamoru Doi:
Preference-Based Evolutionary Multi-Objective Optimization Using Non-Preference Information. 1-8 - Caitong Yue, Liming Liu, Jing Liang, Gongping Li, Bi Ying, Mingyuan Yu:
Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study. 1-8 - Takato Kinoshita, Naoki Masuyama, Yusuke Nojima:
A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering. 1-7 - Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. 1-8 - Zhao Zhang, Lingda Wang, Chen Chen:
A Triple Network Knowledge Learning Framework for Particle Swarm Optimization. 1-8 - Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi:
Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. 1-8 - Ryunosuke Higashinaka, Reiji Suzuki, Takaya Arita:
Evolution of Developmental Plasticity of Soft Virtual Creatures in Changing Environments. 1-7 - Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. 1-8 - Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato:
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. 1-8 - Rahul Dubey, Simon J. Hickinbotham, Edgar Buchanan, Andrew R. Colligan, Imelda Friel, Mark Price, Andy M. Tyrrell:
Evolving Design For Engineering Structures. 1-8 - Hongzhe Wang, Lixin Tang, Min Xiao, Qingxin Guo:
Multi-Objective Optimization for Joint Communication and Computing Resource Allocation in NOMA-Based MEC System. 1-8 - Qi-Te Yang, Liu-Yue Luo, Chun-Hua Chen, Jian-Yu Li, Jing-Hui Zhong, Jun Zhang, Zhi-Hui Zhan:
Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection. 1-8 - Mia Gerber, Nelishia Pillay:
Dynamic Algorithm Composition for Image Segmentation. 1-8 - Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang:
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. 1-8 - Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz:
Realistic Tax Planning with Evolutionary Algorithms. 1-8 - Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew:
A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. 1-8 - Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen:
Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. 1-9 - Hangqi Ding, Jun Jiang, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking with Compatibility Graph for Point Cloud Registration. 1-8 - Jhih-Cian Lin, Chun-Wei Tsai:
A Lightweight Training-Free Method for Neural Architecture Search. 1-8 - Donald Davendra, Andrew Struthers:
Adaptive NEH with constrained Nearest Neighbor Subtours for the Electric Vehicle Routing Problem with Time Windows. 1-8 - Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming:
Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. 1-8 - Israel Mendonça, Tirana Noor Fatyanosa, Masayoshi Aritsugi, Pedro Henrique González Silva:
A Hybrid Approach with BRKGA and Data Mining for the Early/Tardy Scheduling Problem. 1-8 - Tzu-Hao Hsu, Chi-Hsien Chang, Tian-Li Yu:
Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming. 1-8 - Jinyu Cai, Jialong Li, Mingyue Zhang, Munan Li, Chen-Shu Wang, Kenji Tei:
Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation. 1-10 - José-Fernando Camacho-Vallejo, Carlos Corpus:
A Nested Evolutionary Algorithm for Solving a Bilevel Competitive Location Problem: Optimistic vs. Pessimistic Approaches. 1-8 - Adriano Vinhas, João Correia, Penousal Machado:
Towards Evolution of Deep Neural Networks through Contrastive Self-Supervised Learning. 1-8 - Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay:
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. 1-8 - Shio Kawakami, Keiki Takadama, Hiroyuki Sato:
Evolutionary Constrained Multi-Factorial Optimization Based on Task Similarity. 1-8 - Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan:
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. 1-8 - Mia Gerber, Nelishia Pillay:
Dynamic Function Generation for Text Classification. 1-8 - Jirí Jaros, Marta Jaros, Martin Buchta:
Prediction of Distributed Ultrasound Simulation Execution Time U sing Machine Learning. 1-8 - Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama:
From Multipoint Search to Multiarea Search: Novelty-Based Multi-Objectivization for Unbounded Search Space Optimization. 1-8 - Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-Objective Feature Selection. 1-8 - Shulei Liu, Handing Wang, Wen Yao, Wei Peng, Jingjing Ma:
Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization. 1-8 - Koki Kimura, Isao Ono:
A Reinforcement Learning Method Based on Natural Evolution Strategies. 1-8 - Nathanaël Aubert-Kato, Mika Ito:
Exploration of Reservoir Properties in Molecular Computing Systems. 1-8 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations. 1-8 - Héctor Escobar-Cuevas, Erik Cuevas, Alberto Luque-Chang, Marco Pérez-Cisneros, Daniel Zaldivar, Oscar Barba-Toscano, Mario Vásquez, Nahum Aguirre, Eric L. Marin:
Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory. 1-8 - Luís A. Alexandre, Wlodzislaw Duch:
Schizophrenia Detection Using EEG: A Study on Frequency Relevance. 1-8 - Fraser Borrett, Mark Beckerleg:
A Comparison of a Digital and Floating-Point Virtual Programmable Logic Device and an Artifical Neural Network Evolved for Robotic Navigation. 1-8 - Shiqing Liu, Ulrich Rückert, Yaochu Jin:
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. 1-8 - Vladimir Stanovov, Eugene Semenkin:
Differential Evolution with Success Rate-based adaptation CL-SRDE for Constrained Optimization. 1-8 - Hyung-Jun Moon, Sung-Bae Cho:
Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game. 1-8 - Shanshan Yang, Anqi Pan, Xue Feng:
Feature-based Coevolution Algorithm for Multimodal Multi-objective Optimization. 1-8 - Vladimir Stanovov, Eugene Semenkin:
Success Rate-based Adaptive Differential Evolution L-SRTDE for CEC 2024 Competition. 1-8 - Kuangda Lyu, Maoguo Gong, Hao Li, Yuan Gao, Yue Wu, Dan Feng, Jiao Shi, Yu Lei:
One-Shot Surrogate for Evolutionary Multiobjective Neural Architecture Search. 1-9 - Edgar Buchanan, Simon J. Hickinbotham, Rahul Dubey, Imelda Friel, Andrew R. Colligan, Mark Price, Andy M. Tyrrell:
A Quality Diversity Study in EvoDevo Processes for Engineering Design. 1-8 - Josy John, Suresh Sundaram:
Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs. 1-8 - Pablo Torrijos, José A. Gámez, José M. Puerta:
Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms. 1-8 - Yu Takei, Hernán E. Aguirre, Kiyoshi Tanaka:
Repeated ε-Sampling for Many-Objective Optimization. 1-8 - Minhui Dong, Yuki Todo:
Feature Selection for Computer-Aided Diagnosis via a Novelty Designed Binary Harris Hawk Algorithm. 1-7 - Ziang Liu, Tatsushi Nishi:
Surrogate-Assisted Evolutionary Computation for Distributed Simulation-Based Inventory Optimization in Serial Supply Chains. 1-7 - Diego Acosta-Ugalde, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Jesús Guillermo Falcón-Cardona:
Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software. 1-8 - Liang Qu, Cunze Wang, Yuhui Shi:
Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification. 1-7 - Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson:
Multi-Objective Evolutionary Optimization for Tuning Hyperparameters and Reducing Features in Prediction of Deep Vein Thrombosis. 1-9 - Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Donghua Wang, Jialiang Sun:
QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm. 1-8 - Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson:
Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. 1-9 - Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Label Selection for Multi-label Classification. 1-8 - Markus Rothkötter, Niklas Kluge, Sanaz Mostaghim:
Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario. 1-8 - Geoff Nitschke, David Howard, Bilal Aslan:
Automating Robot Design with Multi-Level Evolution. 1-8 - Zhiqiang Zheng, Haibin Duan, Yongbin Sun:
Heterogeneous UAV Swarm Task Allocation via Hierarchy Tolerance Pigeon-Inspired Optimization. 1-8 - Ming-You Ying, Rung-Tzuo Liaw:
A Language-Free Evolutionary Framework for Text-to-Image Generation. 1-8 - Kentaro Sakabe, Keiko Ono, Panagiotis Adamidis, Naohiro Masuda:
Generating Interior Images with Latent User Preferences Through GANs. 1-7 - Arthur Cerveira, Frederico Kremer, Darling Lourenço, Ulisses Brisolara Corrêa:
Evaluation Framework for AI -driven Molecular Design of Multi-target Drugs: Brain Diseases as a Case Study. 1-8 - Lei Yang, Jinglin Tian, Jiale Cao, Kangshun Li, Chaoda Peng:
An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems. 1-8 - Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. 1-8 - Kanchan Rajwar, Kusum Deep:
Q-Learning-Driven Framework for High-Dimensional Optimization Problems. 1-8 - Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin:
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. 1-8 - Jiayin Chen, Ya-Hui Jia, Ying Bi, Wei-Neng Chen:
Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming. 1-8 - Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. 1-8 - Lele Xie, Xiaoming Zhang, Ran Hu, Shun Zhang:
Dynamic Multi-Objective Optimization Time Series Ensemble Prediction Framework Based on Correlation Type Detection. 1-8 - Norihiro Kimoto, Yuma Horaguchi, Masaya Nakata:
Oversampling-Guided Search for Evolutionary Multiobjective Optimization. 1-8 - Michael Heider, Maximilian Krischan, Roman Sraj, Jörg Hähner:
Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. 1-8 - Gabriel Souto, Masayoshi Aritsugi, Israel Mendonça, Luidi Simonetti, Pedro Henrique González:
A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem with Forfeits. 1-8
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