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ORCIDIEEE Transactions on Evolutionary Computation, Volume 26
Volume 26, Number 1, February 2022
- Jonathan E. Fieldsend
, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen:
A Visualizable Test Problem Generator for Many-Objective Optimization. 1-11 - Gustavo Adolfo Vargas Hakim, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa:
A Review on Convolutional Neural Network Encodings for Neuroevolution. 12-27 - Hongke Zhao, Xinpeng Wu, Chuang Zhao, Lei Zhang, Haiping Ma, Fan Cheng:
CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations. 28-42 - Pavel Krömer, Vojtech Uher, Václav Snásel:
Novel Random Key Encoding Schemes for the Differential Evolution of Permutation Problems. 43-57 - Wei Du, Wenjiang Song, Yang Tang, Yaochu Jin, Feng Qian:
Searching for Robustness Intervals in Evolutionary Robust Optimization. 58-72 - Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao:
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. 73-87 - Jon McCormack, Camilo Cruz Gambardella:
Growing and Evolving 3-D Prints. 88-99 - Guanghui Zhang, Xuejiao Ma, Ling Wang, Keyi Xing:
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem. 100-114 - Lei Chen, Hai-Lin Liu, Kay Chen Tan, Ke Li:
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. 115-129 - Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. 130-144 - Honggui Han, Xing Bai, Huayun Han, Ying Hou, Junfei Qiao:
Self-Adjusting Multitask Particle Swarm Optimization. 145-158 - Yuan Yuan, Wolfgang Banzhaf:
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction. 159-173 - Abubakar Siddique, Will N. Browne, Gina M. Grimshaw:
Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks. 174-187 - Jens Weise, Sanaz Mostaghim:
A Scalable Many-Objective Pathfinding Benchmark Suite. 188-194
Volume 26, Number 2, April 2022
- Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang:
Guest Editorial Special Issue on Multitask Evolutionary Computation. 202-205 - Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. 206-217 - Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. 218-232 - Aritz D. Martinez, Javier Del Ser, Eneko Osaba, Francisco Herrera:
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning. 233-247 - Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan:
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization. 248-262 - Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue:
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems. 263-277 - Genghui Li, Qingfu Zhang, Zhenkun Wang:
Evolutionary Competitive Multitasking Optimization. 278-289 - Hao Xu, Alex Kai Qin, Siyu Xia:
Evolutionary Multitask Optimization With Adaptive Knowledge Transfer. 290-303 - Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu:
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection. 304-318 - Zhengping Liang, Xiuju Xu, Ling Liu, Yaofeng Tu, Zexuan Zhu:
Evolutionary Many-Task Optimization Based on Multisource Knowledge Transfer. 319-333 - Jun Yi, Wei Zhang, Junren Bai, Wei Zhou, Lizhong Yao:
Multifactorial Evolutionary Algorithm Based on Improved Dynamical Decomposition for Many-Objective Optimization Problems. 334-348 - Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao:
Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. 349-363 - Hangyu Zhu, Yaochu Jin:
Real-Time Federated Evolutionary Neural Architecture Search. 364-378 - Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He:
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. 379-391 - Mohammad Mohiuddin Mamun, Hemant Kumar Singh, Tapabrata Ray:
A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget. 392-399
Volume 26, Number 3, June 2022
- Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms. 402-416 - Zhenyu Lei, Shangce Gao, Zhiming Zhang, MengChu Zhou, Jiujun Cheng:
MO4: A Many-Objective Evolutionary Algorithm for Protein Structure Prediction. 417-430 - Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. 431-445 - Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. 446-460 - Jing-Jing Wang, Ling Wang:
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling. 461-475 - Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb:
Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization. 476-489 - Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr:
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. 490-500 - Alexandru Agapie, Ovidiu Solomon, Marius Giuclea:
Theory of (1 + 1) ES on the RIDGE. 501-511 - Xin Zhang, Zhi-Hui Zhan, Wei Fang, Pengjiang Qian, Jun Zhang:
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration. 512-526 - Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations. 527-541 - Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin:
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. 542-554 - Ying Bi, Bing Xue, Mengjie Zhang:
Dual-Tree Genetic Programming for Few-Shot Image Classification. 555-569 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition. 570-584 - Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan:
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. 585-598
Volume 26, Number 4, August 2022
- Xinye Cai, Yushun Xiao, Zhenhua Li, Qi Sun, Hanchuan Xu, Miqing Li, Hisao Ishibuchi:
A Kernel-Based Indicator for Multi/Many-Objective Optimization. 602-615 - Yong Zhang, Yan-Hu Wang, Dun-Wei Gong, Xiaoyan Sun:
Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values. 616-630 - Qiuzhen Lin, Xunfeng Wu, Lijia Ma, Jianqiang Li, Maoguo Gong, Carlos A. Coello Coello:
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. 631-645 - Guohua Wu, Xupeng Wen, Ling Wang, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques. 646-660 - Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. 661-675 - Meiji Cui, Li Li, Mengchu Zhou, Abdullah Abusorrah:
Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems. 676-689 - Dejun Xu, Min Jiang, Weizhen Hu, Shaozi Li, Renhu Pan, Gary G. Yen:
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization. 690-703 - Wenxing Lan, Ziyuan Ye, Peijun Ruan, Jialin Liu, Peng Yang, Xin Yao:
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. 704-718 - Jian-Yu Li, Zhi-Hui Zhan, Kay Chen Tan, Jun Zhang:
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization. 719-734 - Hengzhe Zhang, Aimin Zhou, Hu Zhang:
An Evolutionary Forest for Regression. 735-749 - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization. 750-764 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. 765-779 - Yong Wang, Jianqing Lin, Jiao Liu, Guangyong Sun, Tong Pang:
Surrogate-Assisted Differential Evolution With Region Division for Expensive Optimization Problems With Discontinuous Responses. 780-792 - Andrew E. Blanchard, Mayanka Chandra Shekar, Shang Gao, John Gounley, Isaac Lyngaas, Jens Glaser, Debsindhu Bhowmik:
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. 793-799
Volume 26, Number 5, October 2022
- Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I. 802-822 - Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II. 823-843 - Lin Bao, Xiaoyan Sun, Dunwei Gong, Yong Zhang:
Multisource Heterogeneous User-Generated Contents-Driven Interactive Estimation of Distribution Algorithms for Personalized Search. 844-858 - Xiangyu Wang, Kai Zhang, Jian Wang, Yaochu Jin:
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. 859-871 - Ruwang Jiao, Bing Xue, Mengjie Zhang:
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. 872-885 - Yiming Peng, Hisao Ishibuchi:
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. 886-900 - Yongbin Yu, Jiehong Mo, Quanxin Deng, Chen Zhou, Biao Li, Xiangxiang Wang, Nijing Yang, Qian Tang, Xiao Feng:
Memristor Parallel Computing for a Matrix-Friendly Genetic Algorithm. 901-910 - Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu:
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. 911-925 - Hualong Cao, Qiqi He, Haifeng Wang, Zenghui Xiong, Ni Zhang, Yang Yang:
An Estimation of Distribution Algorithm Based on Variational Bayesian for Point-Set Registration. 926-940 - Tingyang Wei, Shibin Wang, Jinghui Zhong, Dong Liu, Jun Zhang:
A Review on Evolutionary Multitask Optimization: Trends and Challenges. 941-960 - Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. 961-975 - Chao Li, Handing Wang, Jun Zhang, Wen Yao, Tingsong Jiang:
An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack. 976-990 - Carlo Baldassi:
Recombinator-k-Means: An Evolutionary Algorithm That Exploits k-Means++ for Recombination. 991-1003 - Bruno Lang:
Space-Partitioned ND-Trees for the Dynamic Nondominance Problem. 1004-1014 - Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. 1015-1029 - Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang, Hisao Ishibuchi:
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast. 1030-1042 - Guanghui Zhang, Bo Liu, Ling Wang, Dengxiu Yu, Keyi Xing:
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem. 1043-1057 - Hassan Jalil, Kangshun Li, Weiqin Ying:
Theoretical Analysis and Empirical Validation of the Conical Area Evolutionary Algorithm for Bi-Objective Optimization. 1058-1071 - Haoyu Zhang, Yaochu Jin, Kuangrong Hao:
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing. 1072-1086 - Shulei Liu, Handing Wang, Wei Peng, Wen Yao:
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification. 1087-1101 - Jianqiang Li, Tao Sun, Qiuzhen Lin, Min Jiang, Kay Chen Tan:
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. 1102-1116 - Shiyue Rong, Weisheng Wang, Viet Ly, Pasha Khosravi, William C. Wu, Jing Chen, Wayne B. Hayes:
Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network Alignment. 1117-1128 - Mengjun Ming, Rui Wang, Hisao Ishibuchi, Tao Zhang:
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization. 1129-1143 - Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano:
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization. 1144-1156 - Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang:
Expensive Multiobjective Optimization by Relation Learning and Prediction. 1157-1170 - David M. Bossens, Danesh Tarapore:
Quality-Diversity Meta-Evolution: Customizing Behavior Spaces to a Meta-Objective. 1171-1181 - Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen:
Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization. 1182-1191 - Yimin Sun, Ilya Silvestrov, Andrey Bakulin:
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm. 1192-1199
Volume 26, Number 6, December 2022
- Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle:
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. 1202-1205 - Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. 1206-1220 - Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel:
CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. 1221-1235 - Antoine Ligot, Andres Cotorruelo, Emanuele Garone, Mauro Birattari:
Toward an Empirical Practice in Offline Fully Automatic Design of Robot Swarms. 1236-1245 - Estefania Yap, Mario Andrés Muñoz, Kate Smith-Miles:
Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis. 1246-1260 - Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization. 1261-1270 - Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik:
Impact of Boundary Control Methods on Bound-Constrained Optimization Benchmarking. 1271-1280 - Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano:
Bayesian Performance Analysis for Algorithm Ranking Comparison. 1281-1292 - Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar:
Anytime Performance Assessment in Blackbox Optimization Benchmarking. 1293-1305 - Lennart Schäpermeier, Christian Grimme, Pascal Kerschke:
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems. 1306-1320 - Ryoji Tanabe:
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization. 1321-1335 - Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl:
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. 1336-1350 - Koen van der Blom, Holger H. Hoos, Chuan Luo, Jeroen G. Rook:
Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. 1351-1364 - Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein:
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. 1365-1379 - Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova:
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. 1380-1393 - Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes. 1394-1408 - Ke Li, Haifeng Nie, Huiru Gao, Xin Yao:
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification. 1409-1423 - Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan:
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. 1424-1438 - Xiaoliang Ma, Zhitao Huang, Xiaodong Li, Lei Wang, Yutao Qi, Zexuan Zhu:
Merged Differential Grouping for Large-Scale Global Optimization. 1439-1451 - Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang:
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. 1452-1472 - Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. 1473-1485 - Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. 1486-1500 - Mathew J. Walter, David J. Walker, Matthew J. Craven:
Visualizing Population Dynamics to Examine Algorithm Performance. 1501-1510 - Ye Tian, Yuandong Feng, Chao Wang, Ruifen Cao, Xingyi Zhang, Xi Pei, Kay Chen Tan, Yaochu Jin:
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning. 1511-1525 - Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck:
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. 1526-1538 - Luca Grillotti, Antoine Cully:
Unsupervised Behavior Discovery With Quality-Diversity Optimization. 1539-1552 - Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li:
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. 1553-1565 - Chun-lin He, Yong Zhang, Dunwei Gong, Xianfang Song, Xiaoyan Sun:
A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images. 1566-1580 - Takumi Sonoda, Masaya Nakata:
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems. 1581-1595 - Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Standardization and Data Augmentation in Genetic Programming. 1596-1608 - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization. 1609-1616
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