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ORCIDIEEE Transactions on Evolutionary Computation, Volume 27
Volume 27, Number 1, February 2023
- Gustavo Olague
, Mario Köppen, Oscar Cordón:
Guest Editorial Special Issue on Evolutionary Computer Vision. 2-4 - Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. 5-25 - Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Evolutionary Neural Architecture Search With Predictor. 26-36 - Yuting Wan, Ailong Ma, Wei He, Yanfei Zhong:
Accurate Multiobjective Low-Rank and Sparse Model for Hyperspectral Image Denoising Method. 37-51 - Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. 52-66 - Songbai Liu, Jun Li, Qiuzhen Lin, Ye Tian, Kay Chen Tan:
Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. 67-81 - Dominik Sobania, Dirk Schweim, Franz Rothlauf:
A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms. 82-97 - Wenhua Li, Xingyi Yao, Tao Zhang, Rui Wang, Ling Wang:
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts. 98-110 - Lei Zhao, Rui Li, Jianda Han, Jianlei Zhang:
A Distributed Model Predictive Control-Based Method for Multidifferent-Target Search in Unknown Environments. 111-125 - Ke Li, Renzhi Chen:
Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation. 126-140 - Yu-Jun Zheng, Xin Chen, Qin Song, Jun Yang, Ling Wang:
Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands. 141-154 - Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. 155-169 - Dawei Zhan, Yun Meng, Huanlai Xing:
A Fast Multipoint Expected Improvement for Parallel Expensive Optimization. 170-184 - Sheng-Hao Wu, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
Orthogonal Transfer for Multitask Optimization. 185-200
Volume 27, Number 2, April 2023
- Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan:
A Survey on Evolutionary Constrained Multiobjective Optimization. 201-221 - Noha W. Hasan, Ali S. Saudi, Mahmoud I. Khalil, Hazem M. Abbas:
A Genetic Algorithm Approach to Automate Architecture Design for Acoustic Scene Classification. 222-236 - Hongyan Chen, Hai-Lin Liu, Fangqing Gu, Kay Chen Tan:
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank. 237-250 - Lixin Tang, Zuocheng Li, Jin-Kao Hao:
Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group. 251-265 - Fan Cheng, Junjie Cui, Qijun Wang, Lei Zhang:
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification. 266-280 - Umar Afzaal, Abdus Sami Hassan, Muhammad Usman, Jeong-A Lee:
On the Evolutionary Synthesis of Fault-Resilient Digital Circuits. 281-295 - Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. 296-310 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao:
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. 311-325 - Qi Deng, Qi Kang, Liang Zhang, MengChu Zhou, Jing An:
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization. 326-340 - Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun:
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. 341-354 - Zhao Wang, Maoguo Gong, Peng Li, Fei Xie, Mingyang Zhang:
A Bilevel Gene-Based Multiobjective Memetic Algorithm for Passive Localization System Deployment Optimization. 355-369 - Hao-Gan Huang, Yue-Jiao Gong:
Contrastive Learning: An Alternative Surrogate for Offline Data-Driven Evolutionary Computation. 370-384 - Adham Salih, Amiram Moshaiov:
Promoting Transfer of Robot Neuro-Motion-Controllers by Many-Objective Topology and Weight Evolution. 385-395
Volume 27, Number 3, June 2023
- Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff:
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. 398-400 - Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Qing Li, Kay Chen Tan:
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. 401-415 - Xiangjuan Yao, Qian Zhao, Dunwei Gong, Song Zhu:
Solution of Large-Scale Many-Objective Optimization Problems Based on Dimension Reduction and Solving Knowledge-Guided Evolutionary Algorithm. 416-429 - Xuan He, Quan-Ke Pan, Liang Gao, Ling Wang, Ponnuthurai Nagaratnam Suganthan:
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems. 430-444 - Xu Yang, Juan Zou, Shengxiang Yang, Jinhua Zheng, Yuan Liu:
A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization. 445-459 - Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. 460-474 - An Chen, Zhigang Ren, Wenhua Guo, Yongsheng Liang, Zuren Feng:
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization. 475-489 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition. 490-504 - Kalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, A. Pouyan Nejadhashemi:
Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems. 505-519 - Angus Kenny, Tapabrata Ray, Hemant Kumar Singh:
An Iterative Two-Stage Multifidelity Optimization Algorithm for Computationally Expensive Problems. 520-534 - Ahmed Awad, Amjad Hawash, Baker Abdalhaq:
A Genetic Algorithm (GA) and Swarm-Based Binary Decision Diagram (BDD) Reordering Optimizer Reinforced With Recent Operators. 535-549 - Richard Arnoud Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg:
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. 550-564 - Thang Le-Duc, Quoc-Hung Nguyen, Jaehong Lee, Hung Nguyen-Xuan:
Strengthening Gradient Descent by Sequential Motion Optimization for Deep Neural Networks. 565-579 - Yuanhang Wang, Tianxian Zhang, Lingjiang Kong, Zhijie Ma:
A Stochastic Simulation Optimization-Based Range Gate Pull-Off Jamming Method. 580-594 - Xianfang Song, Yong Zhang, Dunwei Gong, Hui Liu, Wanqiu Zhang:
Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data. 595-609 - Rui Li, Wenyin Gong, Chao Lu, Ling Wang:
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time. 610-620 - Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang:
Explainable Artificial Intelligence by Genetic Programming: A Survey. 621-641 - Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan:
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. 642-656 - Danial Yazdani, Donya Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Amir Hossein Gandomi, Xin Yao:
Robust Optimization Over Time by Estimating Robustness of Promising Regions. 657-670 - Feng-Feng Wei, Wei-Neng Chen, Qing Li, Sang-Woon Jeon, Jun Zhang:
Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation. 671-685 - Yapei Wu, Xingguang Peng, Handing Wang, Yaochu Jin, Demin Xu:
Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments. 686-700 - Grasiele Regina Duarte, Beatriz Souza Leite Pires de Lima, Afonso Celso de Castro Lemonge:
A Stigmergy-Based Island Model for Dynamic Evaluation of Constraint-Handling Techniques and Differential Evolution Algorithms. 701-715 - Huixiang Zhen, Wenyin Gong, Ling Wang:
Evolutionary Sampling Agent for Expensive Problems. 716-727 - Chao Lyu, Yuhui Shi, Lijun Sun, Chin-Teng Lin:
Community Detection in Multiplex Networks Based on Evolutionary Multitask Optimization and Evolutionary Clustering Ensemble. 728-742
Volume 27, Number 4, August 2023
- Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Rong Qu, Hadi Charkhgard:
Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. 746-748 - Ke Li, Guiyu Lai, Xin Yao:
Interactive Evolutionary Multiobjective Optimization via Learning to Rank. 749-763 - Botao Jiao, Yinan Guo, Shengxiang Yang, Jiayang Pu, Dunwei Gong:
Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization. 764-777 - Yu Xue, Chen Chen, Adam Slowik:
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack. 778-786 - Yu Zhou, Yan Qiu, Sam Kwong:
Region Purity-Based Local Feature Selection: A Multiobjective Perspective. 787-801 - Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. 802-816 - Mario Garza-Fabre, Julia Handl, Adán José García:
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views. 817-831 - Wei Jiang, Shen You, Jinyu Zhan, Xupeng Wang, Hong Lei, Deepak Adhikari:
Query-Efficient Generation of Adversarial Examples for Defensive DNNs via Multiobjective Optimization. 832-847 - Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao:
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. 848-862 - Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan:
Evolutionary Multitasking for Large-Scale Multiobjective Optimization. 863-877 - Konstantinos Theodorakos, Oscar Mauricio Agudelo, Joachim Schreurs, Johan A. K. Suykens, Bart De Moor:
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting. 878-892 - Rihab Said, Maha Elarbi, Slim Bechikh, Carlos Artemio Coello Coello, Lamjed Ben Said:
Discretization-Based Feature Selection as a Bilevel Optimization Problem. 893-907 - Yong Zhang, Xinfang Ji, Xiao-Zhi Gao, Dun-Wei Gong, Xiaoyan Sun:
Objective-Constraint Mutual-Guided Surrogate-Based Particle Swarm Optimization for Expensive Constrained Multimodal Problems. 908-922 - Dhish Kumar Saxena, Sukrit Mittal, Sarang Kapoor, Kalyanmoy Deb:
A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm. 923-937 - Alexandru Agapie, Ovidiu Solomon, Luiza Badin:
Theory of (1+1) ES on SPHERE Revisited. 938-948 - Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Caitong Yue, Xuanxuan Ban:
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms. 949-963 - Zi-Jia Wang, Jun-Rong Jian, Zhi-Hui Zhan, Yun Li, Sam Kwong, Jun Zhang:
Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization. 964-979 - Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig:
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient. 980-992 - Jinlong Zhou, Yinggui Zhang, Jinhua Zheng, Miqing Li:
Domination-Based Selection and Shift-Based Density Estimation for Constrained Multiobjective Optimization. 993-1004 - Christian Kasten, Julian Fahr, Markus Klein:
An Efficient Way of Introducing Gender Into Evolutionary Algorithms. 1005-1014 - Honggui Han, Xing Bai, Ying Hou, Junfei Qiao:
Multitask Particle Swarm Optimization With Dynamic On-Demand Allocation. 1015-1026 - Aijuan Song, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz:
Automatic Variable Reduction. 1027-1041 - Zhengping Liang, Yingmiao Zhu, Xiyu Wang, Zhi Li, Zexuan Zhu:
Evolutionary Multitasking for Optimization Based on Generative Strategies. 1042-1056 - Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems. 1057-1071 - Wenjie Yi, Rong Qu, Licheng Jiao, Ben Niu:
Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework. 1072-1084 - Shufen Qin, Chaoli Sun, Qiqi Liu, Yaochu Jin:
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization. 1085-1099 - Shaolong Shi, Yifan Chen, Jurong Ding, Qiang Liu, Qingfu Zhang:
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes. 1100-1114 - Jing Liang, Hongyu Lin, Caitong Yue, Kunjie Yu, Ying Guo, Kangjia Qiao:
Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization. 1115-1129 - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. 1130-1144 - Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan:
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. 1145-1153 - Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi:
HV-Net: Hypervolume Approximation Based on DeepSets. 1154-1160
Volume 27, Number 5, October 2023
- Tuo Zhang, Handing Wang, Bo Yuan, Yaochu Jin, Xin Yao:
Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems. 1162-1176 - Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan:
Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. 1177-1191 - Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. 1192-1206 - Ruiqing Sun, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng:
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints. 1207-1219 - Xinan Chen, Ruibin Bai, Rong Qu, Haibo Dong:
Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching. 1220-1234 - Xingjia Gan, Jing Sun, Dunwei Gong, Dongbao Jia, Hongwei Dai, Zhaoman Zhong:
An Adaptive Reference Vector-Based Interval Multiobjective Evolutionary Algorithm. 1235-1249 - Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Revisiting Implicit and Explicit Averaging for Noisy Optimization. 1250-1259 - Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi, Xiangke Liao:
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization. 1260-1274 - Yuan Yan, Qunfeng Liu, Yun Li:
Paradox-Free Analysis for Comparing the Performance of Optimization Algorithms. 1275-1287 - Benjamin Doerr, Zhongdi Qu:
A First Runtime Analysis of the NSGA-II on a Multimodal Problem. 1288-1297 - Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen:
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. 1298-1312 - Fei Ming, Wenyin Gong, Dongcheng Li, Ling Wang, Liang Gao:
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems. 1313-1326 - Iwo Bladek, Krzysztof Krawiec:
Counterexample-Driven Genetic Programming for Symbolic Regression With Formal Constraints. 1327-1339 - Qi-Te Yang, Zhi-Hui Zhan, Sam Kwong, Jun Zhang:
Multiple Populations for Multiple Objectives Framework With Bias Sorting for Many-Objective Optimization. 1340-1354 - Peilan Xu, Wenjian Luo, Xin Lin, Yatong Chang, Ke Tang:
Difficulty and Contribution-Based Cooperative Coevolution for Large-Scale Optimization. 1355-1369 - Zhi-Zhong Liu, Yunchuan Qin, Wu Song, Jinyuan Zhang, Kenli Li:
Multiobjective-Based Constraint-Handling Technique for Evolutionary Constrained Multiobjective Optimization: A New Perspective. 1370-1384 - Carola Doerr, Martin S. Krejca:
Run Time Analysis for Random Local Search on Generalized Majority Functions. 1385-1397 - Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen, Caitong Yue, Kangjia Qiao, Ling Wang:
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. 1398-1412 - Shi-Jie Jian, Sun-Yuan Hsieh:
A Niching Regression Adaptive Memetic Algorithm for Multimodal Optimization of the Euclidean Traveling Salesman Problem. 1413-1426 - Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
An Instance Space Analysis of Constrained Multiobjective Optimization Problems. 1427-1439 - Sheng Xin Zhang, Yi Nan Wen, Yu Hong Liu, Li Ming Zheng, Shao Yong Zheng:
Differential Evolution With Domain Transform. 1440-1455 - Zihan Wang, Bochao Mao, Hao Hao, Wenjing Hong, Chunyun Xiao, Aimin Zhou:
Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization. 1456-1469 - Junwen Ding, Stéphane Dauzère-Pérès, Liji Shen, Zhipeng Lü:
A Novel Evolutionary Algorithm for Energy-Efficient Scheduling in Flexible Job Shops. 1470-1484 - Qian Zhao, Yinan Guo, Xiangjuan Yao, Dunwei Gong:
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods. 1485-1497 - Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak:
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization. 1498-1513 - Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization. 1514-1528 - Thiago Henrique Lemos Fonseca, Silvia Modesto Nassar, Alexandre César Muniz de Oliveira, Bruno Agard:
Low-Dimensional Space Modeling-Based Differential Evolution for Large-Scale Global Optimization Problems. 1529-1543 - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations. 1544-1558
Volume 27, Number 6, December 2023
- Huan Liu, Junqi Zhang, Peng Zu, MengChu Zhou:
Evolutionary Algorithm-Based Attack Strategy With Swarm Robots in Denied Environments. 1562-1574 - Jinyuan Zhang, Linjun He, Hisao Ishibuchi:
Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization. 1575-1589 - Zixiao Pan, Ling Wang, Jie Zheng, Jing-Fang Chen, Xing Wang:
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources. 1590-1603 - Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang:
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. 1604-1617 - Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. 1618-1632 - Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem. 1633-1647 - Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, Carlos A. Coello Coello:
AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking. 1648-1662 - Shanlin Jiang, Gary G. Yen, Zhenan He:
A Multiscenario Optimization Evolutionary Algorithm Based on Transfer Framework. 1663-1677 - Adetunji David Ajimakin, V. Susheela Devi:
The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift Through Competition, Local Search, and Majority Voting. 1678-1689 - Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He:
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. 1690-1704 - Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. 1705-1719 - Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen:
A Decomposition Method for Both Additively and Nonadditively Separable Problems. 1720-1734 - Huynh Thi Thanh Binh, Le Van Cuong, Ta Bao Thang, Nguyen Hoang Long:
Ensemble Multifactorial Evolution With Biased Skill-Factor Inheritance for Many-Task Optimization. 1735-1749 - Yinan Guo, Guoyu Chen, Min Jiang, Dunwei Gong, Jing Liang:
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization. 1750-1764 - Haoran Gu, Handing Wang, Yaochu Jin:
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization. 1765-1779 - Li Yan, Wenlong Qi, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Xuzhao Chai:
Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization. 1780-1793 - Zhi-Hui Zhan, Jian-Yu Li, Sam Kwong, Jun Zhang:
Learning-Aided Evolution for Optimization. 1794-1808 - Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich:
Evolutionary Minimization of Traffic Congestion. 1809-1821 - Yong Pang, Yitang Wang, Shuai Zhang, Xiaonan Lai, Wei Sun, Xueguan Song:
An Expensive Many-Objective Optimization Algorithm Based on Efficient Expected Hypervolume Improvement. 1822-1836 - Pei-Qiu Huang, Qingfu Zhang, Yong Wang:
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. 1837-1850 - Yilin Fang, Fubo Liu, Miqing Li, Hao Cui:
Domain Generalization-Based Dynamic Multiobjective Optimization: A Case Study on Disassembly Line Balancing. 1851-1865 - Petr Stodola, Jan Nohel:
Adaptive Ant Colony Optimization With Node Clustering for the Multidepot Vehicle Routing Problem. 1866-1880 - Xiao-Fang Liu, Xin-Xin Xu, Zhi-Hui Zhan, Yongchun Fang, Jun Zhang:
Interaction-Based Prediction for Dynamic Multiobjective Optimization. 1881-1895 - Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan:
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. 1896-1911 - Ying Hou, Yilin Wu, Honggui Han:
Multiobjective Differential Evolution Algorithm Balancing Multiple Stakeholders for Low-Carbon Order Scheduling in E-Waste Recycling. 1912-1925 - Jie Zhao, Kang Hao Cheong:
Obfuscating Community Structure in Complex Network With Evolutionary Divide-and-Conquer Strategy. 1926-1940 - Songbai Liu, Qiuzhen Lin, Jianqiang Li, Kay Chen Tan:
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. 1941-1961 - Junchen Wang, Changhe Li, Sanyou Zeng, Shengxiang Yang:
History-Guided Hill Exploration for Evolutionary Computation. 1962-1975
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