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ORCIDCEC 2021: Kraków, Poland
- IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021. IEEE 2021, ISBN 978-1-7281-8393-0
- Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to Mutate for Differential Evolution. 1-8 - Valentino Santucci:
Is Algebraic Differential Evolution Really a Differential Evolution Scheme? 9-16 - Tetsuyuki Takahama, Setsuko Sakai:
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. 17-24 - Ismail M. Ali
, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem. 25-32 - Jing Wei, Zuling Wang, Yangyan Xu, Ze Chen:
A Differential Evolution with Multi-factor Ranking Based Parameter Adaptation for Global Optimization. 33-40 - Hao Bai, Changwu Huang, Xin Yao:
Adaptive Differential Evolution based on Exploration and Exploitation Control. 41-48 - Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Daniel Gutiérrez-Reina, Pablo Millán Gata:
A Genetic Algorithm To Optimize Penstocks For Micro-Hydro Power Plants. 49-56 - Darren M. Chitty:
An Ant Colony Optimisation Inspired Crossover Operator for Permutation Type Problems. 57-64 - N. Hesam Mahmoudi Nezhad, Mohamad Ghaffarian Niasar:
Genetic Algorithm Performance and the Influence of its Control Parameters on the Optimization of Optical Lens Design. 65-70 - Samuel Yanes Luis, Federico Peralta Samaniego, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission. 71-78 - Raphael de Lima Mendes, Alexandre Henrick da Silva Alves, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral:
gaCNN: Composing CNNs and GAs to Build an Optimized Hybrid Classification Architecture. 79-86 - Do Tuan Anh, Huynh Thi Thanh Binh, Nguyen Hoang Long, Ta Bao Thang, Simon Su:
A Two-level Genetic Algorithm for Inter-domain Path Computation under Node-defined Domain Uniqueness Constraints. 87-94 - Rashi Gupta, Satyasai Jagannath Nanda:
Solving Dynamic Many-objective TSP using NSGA-III equipped with SVR-RBF Kernel Predictor. 95-102 - Zhening Liu, Handing Wang:
Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning. 103-110 - Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang:
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. 111-118 - Sheng-Hao Wu, Ke-Jing Du, Zhi-Hui Zhan, Hua Wang, Jun Zhang:
Historical Information-based Differential Evolution for Dynamic Optimization Problem. 119-126 - Christina Plump, Bernhard J. Berger, Rolf Drechsler:
Improving Evolutionary Algorithms by Enhancing an Approximative Fitness Function through Prediction Intervals. 127-135 - Wenlei Bai, Xinxin Zhu, Kwang Y. Lee:
Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model. 136-143 - Kai Eivind Wu, George Panoutsos:
A New Diversity Performance Indicator for Many-Objective Optimisation Problems. 144-152 - Zhou Zhou, Zuling Wang, Tingting Pang, Jing Wei, Ze Chen:
A Competition-Cooperation Evolutionary Algorithm with Bidirectional Multi-population Local Search and Local Hypervolume-based Strategy for Multi-objective Optimization. 153-160 - Kei Nishihara, Masaya Nakata:
Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework. 161-168 - Tingrui Liu, Shenmin Song, Xin Li, Liguo Tan:
Approximating Pareto Optimal Set by An Incremental Learning Model. 169-176 - Zhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao:
MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System. 177-184 - Guiyu Lai, Minhui Liao, Ke Li:
Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization. 185-192 - Carolina Gil Marcelino, Lucas B. de Oliveira, Elizabeth F. Wanner, Carla A. D. M. Delgado, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
A Hybrid Multiobjective Solution for the Short-term Hydro-power Dispatch Problem: a Swarm Evolutionary Approach. 193-200 - Rafal Biedrzycki, Kamil Kwiatkowski, Pawel Cichosz:
Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic Algorithms. 201-208 - Italo Ramon da Costa Campos, Filipe Saraiva:
A Reactive Multi-agent System for Self-healing in Smart Distribution Grids. 209-216 - Tran Thi Huong, Le Van Cuong, Nguyen Ngoc Bao, Ngo Minh Hai, Huynh Thi Thanh Binh:
Effective Partial Charging Scheme For Minimizing The Energy Depletion And Charging Cost In Wireless Rechargeable Sensor Networks. 217-224 - José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale:
Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. 225-232 - Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale:
DSO Contract Market for Demand Response Using Evolutionary Computation. 233-240 - Xiaosong Luo, Zhao-Hui Sun, Siqi Qiu:
Ant Colony System Based Drone Scheduling For Ship Emission Monitoring. 241-247 - Zhuang-Jie Deng, Liu-Yue Luo, Zhi-Hui Zhan, Jun Zhang:
Knowledge Embedding-Assisted Multi-Exemplar Learning Particle Swarm Optimization for Traffic Signal Timing Optimization. 248-255 - Kenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato:
Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization. 256-263 - Egor Smirnov, Sergei Kudinov:
Using a Genetic Algorithm for Planning Interesting Tourist Routes in the City on the Basis of Open Street Map Data. 264-271 - Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang:
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. 272-279 - Laurence Hirsch, Alessandro G. Di Nuovo, Prasanna S. Haddela:
Document Clustering with Evolved Single Word Search Queries. 280-287 - Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Deep Learning Model with GA-based Visual Feature Selection and Context Integration. 288-295 - Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. 296-303 - Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama:
XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. 304-310 - Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama:
Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. 311-318 - Gabriel M. C. Leite, Carolina Gil Marcelino, Elizabeth F. Wanner, Carlos Eduardo Pedreira, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology. 319-326 - Junyuan Chen, Jing Liu:
A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks. 327-334 - Ferrante Neri, Yuyang Zhou:
Covariance Pattern Search with Eigenvalue-determined Radii. 335-342 - Hanan Ba Ali, Adam Roman:
Designing Urban Transit Network using Memetic Algorithm. 343-350 - Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta:
Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem. 351-358 - Azam Asilian Bidgoli, Shahryar Rahnamayan:
Memetic Differential Evolution Using Coordinate Descent. 359-366 - Zi-Xiao Pan, Ling Wang, Jing-Fang Chen, Yuting Wu:
A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling. 367-374 - Luiz Henrique Nogueira Lorena, Luiz Antonio Nogueira Lorena, Antonio Augusto Chaves:
A Biased Random-key Genetic Algorithm with a Local Search Component for the Optimal Bucket Order Problem. 375-382 - Sho Shimazu, Isao Ono:
An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete Optimization. 383-390 - Imanol Unanue, María Merino, José Antonio Lozano:
A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems. 391-398 - Roberto Pietrantuono:
Automated Hypotheses Generation via Combinatorial Causal Optimization. 399-407 - Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Madalina Raschip, Mihaela Elena Breaban:
An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics. 408-415 - Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem. 416-425 - José Santos Reyes, Héctor Rivas:
Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction. 426-433 - Emilia Rutkowski, James Sargant, Sheridan K. Houghten, Joseph Alexander Brown:
Evaluation of Communities from Exploratory Evolutionary Compression of Weighted Graphs. 434-441 - Mariel Barbachan e Silva, Pedro Henrique Narloch, Márcio Dorn, Pilib Ó Broin:
Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing. 442-449 - Rodrigo Vega Jimenez, Michael Dubé, Sheridan K. Houghten, James Alexander Hughes:
Weighting on the World to Change... an Epidemic. 450-457 - Laurence Rodrigues do Amaral, Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Estevam Rafael Hruschka:
Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) Biocurator. 458-465 - Larissa M. Fraga, Gina Maira Barbosa de Oliveira, Luiz G. A. Martins:
Multistage Evolutionary Strategies for Adjusting a Cellular Automata-based Epidemiological Model. 466-473 - Bruno M. P. Silva, Heder S. Bernardino, Helio J. C. Barbosa:
Human Activity Recognition Using Parallel Cartesian Genetic Programming. 474-481 - Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. 482-489 - Yong Wee Foo, Cindy Goh:
Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural Network. 490-497 - Andrew W. Rafe, Jaime Andres Garcia, William L. Raffe:
Exploration Of Encoding And Decoding Methods For Spiking Neural Networks On The Cart Pole And Lunar Lander Problems Using Evolutionary Training. 498-505 - Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price:
A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning. 506-513 - Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. 514-521 - Victor Parque:
A Differential Particle Scheme with Successful Parent Selection and its Application to PID Control Tuning. 522-529 - Behzad Saemi, Mehdi Sadeghilalimi, Ali Asghar Rahmani Hosseinabadi, Malek Mouhoub, Samira Sadaoui:
A New Optimization Approach for Task Scheduling Problem Using Water Cycle Algorithm in Mobile Cloud Computing. 530-539 - Christina Plump, Bernhard J. Berger, Rolf Drechsler:
Domain-driven Correlation-aware Recombination and Mutation Operators for Complex Real-world Applications. 540-548 - Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy:
Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable Manufacturing. 549-555 - Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah:
A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. 556-563 - Lushen Liao, Adam Kotaro Pindur, Hitoshi Iba:
Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. 564-571 - Radomil Matousek, René Pierre Lozi, Tomas Hulka:
Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches. 572-579 - Fergal Stapleton, Edgar Galván:
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. 580-587 - Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang:
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. 588-595 - Mikhail Maslyaev, Alexander Hvatov:
Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. 596-603 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. 604-611 - Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling. 612-619 - Mengyi Niu, Ruochen Liu, Handing Wang:
A Max-Min Ant System based on Decomposition for the Multi-Depot Cumulative Capacitated Vehicle Routing Problem. 620-627 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. 628-635 - Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem. 636-643 - Atiya Masood, Gang Chen, Mengjie Zhang:
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. 644-651 - Gaurav Srivastava, Alok Singh, Rammohan Mallipeddi:
A Hybrid Discrete Differential Evolution Approach for the Single Machine Total Stepwise Tardiness Problem with Release Dates. 652-659 - Jan Majkutewicz, Julian Szymanski, Andrzej Sobecki, Higinio Mora, David Gil:
Embedded Representations of Wikipedia Categories. 660-665 - Dawid Polap, Marcin Wozniak, Jacek Mandziuk:
Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. 666-672 - Andrzej Sikora, Adam Zielonka, Marcin Wozniak:
Heuristic Optimization Of 18-pulse Rectifier System. 673-680 - Mariusz Pleszczynski, Adam Zielonka, Dawid Polap, Marcin Wozniak, Jacek Mandziuk:
Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. 681-687 - Hayden Andersen, Andrew Lensen, Bing Xue:
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. 688-695 - Daphne Teck Ching Lai, Yuji Sato:
Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clustering. 696-703 - Finn Schofield, Andrew Lensen:
Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. 704-711 - Jorge Alvarado, J. Manuel Velasco, Francisco Chávez de la O, José Ignacio Hidalgo, Francisco Fernández de Vega:
Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. 712-719 - Rohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. 720-727 - Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer:
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. 728-735 - Carlos Cervigón, J. Manuel Velasco, Clara Burgos Simón, Rafael J. Villanueva, José Ignacio Hidalgo:
Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms. 736-743 - Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall:
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. 744-751 - Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth:
Particle Swarm Optimization for Feature Selection in Emotion Categorization. 752-759 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. 760-767 - Juanjuan Luo, Dongqing Zhou, Lingling Jiang, Huadong Ma:
An Entropy Driven Multiobjective Particle Swarm Optimization Algorithm for Feature Selection. 768-775 - Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. 776-785 - An-Da Li, Bing Xue, Mengjie Zhang:
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. 786-793 - Arka Ghosh, Bing Xue, Mengjie Zhang:
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. 794-801 - Zhendong Sha, Ting Hu, Yuanzhu Chen:
Feature Selection for Polygenic Risk Scores using Genetic Algorithm and Network Science. 802-808 - Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin:
NL-SHADE-RSP Algorithm with Adaptive Archive and Selective Pressure for CEC 2021 Numerical Optimization. 809-816 - Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic:
Self-adaptive Differential Evolution Algorithm with Population Size Reduction for Single Objective Bound-Constrained Optimization: Algorithm j21. 817-824 - Eryk Warchulski, Jaroslaw Arabas:
A New Step-Size Adaptation Rule for CMA-ES Based on the Population Midpoint Fitness. 825-831 - Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian:
Improving Differential Evolution through Bayesian Hyperparameter Optimization. 832-840 - Ali Wagdy Mohamed, Anas A. Hadi, Prachi Agrawal, Karam M. Sallam, Ali Khater Mohamed:
Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems. 841-848 - Petr Bujok, Patrik Kolenovsky:
Differential Evolution with Distance-based Mutation-selection Applied to CEC 2021 Single Objective Numerical Optimisation. 849-856 - Jakub Kudela:
Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. 857-862 - Rafal Biedrzycki:
Comparison with State-of-the-Art: Traps and Pitfalls. 863-870 - Mustafa Misir:
Benchmark Set Reduction for Cheap Empirical Algorithmic Studies. 871-877 - Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr:
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. 878-885 - Peng Wang, Guosong Yang:
Using Double Well Function as a Benchmark Function for Optimization Algorithm. 886-892 - Dawei Zhan, Huanlai Xing:
A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation. 893-900 - Nobuo Namura:
Surrogate-assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-objective Bayesian Optimization. 901-908 - Chunna Li, Lianbo Yang, Chunlin Gong:
A Data-Driven Multi-Objective Evolutionary Algorithm Based on Combinatorial Parallel Infilling Criterion. 909-916 - Zhenhua Li, Christine A. Shoemaker:
Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance Exploration. 917-925 - Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya:
Multi-Objective Evolutionary Design of Composite Data-Driven Models. 926-933 - Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. 934-941 - Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. 942-949