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ORCIDIEEE Transactions on Evolutionary Computation, Volume 25
Volume 25, Number 1, February 2021
- Ke Shang
, Hisao Ishibuchi, Linjun He, Lie Meng Pang:
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. 1-20 - Xinye Cai, Yushun Xiao, Miqing Li, Han Hu, Hisao Ishibuchi, Xiaoping Li:
A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization. 21-34 - Xingxing Hao, Rong Qu, Jing Liu:
A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic. 35-47 - Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada:
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. 48-60 - Masaya Nakata, Will N. Browne:
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems. 61-74 - Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He:
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. 75-86 - Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. 87-101 - Ye Tian, Tao Zhang, Jianhua Xiao, Xingyi Zhang, Yaochu Jin:
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems. 102-116 - Min Jiang, Zhenzhong Wang, Haokai Hong, Gary G. Yen:
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization. 117-129 - Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. 130-144 - Guo Yu, Yaochu Jin, Markus Olhofer:
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. 145-158 - Ming Yang, Aimin Zhou, Changhe Li, Xin Yao:
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. 159-171 - Yuren Zhou, Yi Xiang, Xiaoyu He:
Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations. 172-186 - Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai:
Variable Population Memetic Search: A Case Study on the Critical Node Problem. 187-200
Volume 25, Number 2, April 2021
- Hang Xu, Bing Xue, Mengjie Zhang:
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection. 205-218 - Feng-Feng Wei, Wei-Neng Chen, Qiang Yang, Jeremiah D. Deng, Xiaonan Luo, Hu Jin, Jun Zhang:
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization. 219-233 - Cyril Picard, Jürg Schiffmann:
Realistic Constrained Multiobjective Optimization Benchmark Problems From Design. 234-246 - Kai Wu, Jing Liu, Xingxing Hao, Penghui Liu, Fang Shen:
An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure. 247-261 - Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie:
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. 262-276 - Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. 277-291 - Zhenan He, Gary G. Yen, Jinliang Ding:
Knee-Based Decision Making and Visualization in Many-Objective Optimization. 292-306 - Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen:
Frequency Fitness Assignment: Making Optimization Algorithms Invariant Under Bijective Transformations of the Objective Function Value. 307-319 - Xiaoyu He, Zibin Zheng, Yuren Zhou:
MMES: Mixture Model-Based Evolution Strategy for Large-Scale Optimization. 320-333 - Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen:
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes. 334-345 - David M. Bossens, Danesh Tarapore:
QED: Using Quality-Environment-Diversity to Evolve Resilient Robot Swarms. 346-357 - Chantal Olieman, Anton Bouter, Peter A. N. Bosman:
Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm. 358-370 - Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. 371-385 - Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat:
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. 386-401
Volume 25, Number 3, June 2021
- Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin:
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. 405-418 - Shuai Wang, Jing Liu, Yaochu Jin:
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. 419-432 - Qi Chen, Bing Xue, Mengjie Zhang:
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. 433-447 - Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. 448-462 - Ali Ahrari, Saber Mohammed Elsayed, Ruhul Amin Sarker, Daryl Essam, Carlos A. Coello Coello:
Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization. 463-477 - Sheng-Hao Wu, Zhi-Hui Zhan, Jun Zhang:
SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems. 478-491 - Su Nguyen, Dhananjay Raghavan Thiruvady, Mengjie Zhang, Kay Chen Tan:
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. 492-507 - Qingqi Long, Xiaoying Tao, Ying Shi, Shuzhu Zhang:
Evolutionary Game Analysis Among Three Green-Sensitive Parties in Green Supply Chains. 508-523 - Yanan Sun, Xian Sun, Yuhan Fang, Gary G. Yen, Yuqiao Liu:
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms. 524-536 - Zhaopin Su, Guofu Zhang, Feng Yue, Dezhi Zhan, Miqing Li, Bin Li, Xin Yao:
Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation. 537-551 - Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling. 552-566 - Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. 567-581 - Liang Xi, Ruidong Wang, Zhi-Yu Yao, Fengbin Zhang:
Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection. 582-594 - Ke Tang, Shengcai Liu, Peng Yang, Xin Yao:
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. 595-607
Volume 25, Number 4, August 2021
- Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. 609-629 - Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. 630-650 - Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. 651-665 - Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu:
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient. 666-680 - Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich:
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms. 681-695 - Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property. 696-709 - Jiajun Zhou, Liang Gao, Xinyu Li:
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization. 710-723 - Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend:
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. 724-738 - Mengjun Ming, Anupam Trivedi, Rui Wang, Dipti Srinivasan, Tao Zhang:
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization. 739-753 - Kai Zhang, Chaonan Shen, Gary G. Yen, Zhiwei Xu, Juanjuan He:
Two-Stage Double Niched Evolution Strategy for Multimodal Multiobjective Optimization. 754-768 - Genghui Li, Qingfu Zhang:
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization. 769-778 - Jun-Rong Jian, Zong-Gan Chen, Zhi-Hui Zhan, Jun Zhang:
Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization. 779-793 - Xinfang Ji, Yong Zhang, Dunwei Gong, Xiaoyan Sun:
Dual-Surrogate-Assisted Cooperative Particle Swarm Optimization for Expensive Multimodal Problems. 794-808
Volume 25, Number 5, October 2021
- Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue:
Guest Editorial Evolutionary Computation Meets Deep Learning. 810-814 - Xiangru Chen, Yanan Sun, Mengjie Zhang, Dezhong Peng:
Evolving Deep Convolutional Variational Autoencoders for Image Classification. 815-829 - Tong Zhang, Chunyu Lei, Zongyan Zhang, Xianbing Meng, C. L. Philip Chen:
AS-NAS: Adaptive Scalable Neural Architecture Search With Reinforced Evolutionary Algorithm for Deep Learning. 830-841 - Mincan Li, Zidong Wang, Kenli Li, Xiangke Liao, Kate Hone, Xiaohui Liu:
Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning. 842-855 - Feiran Huang, Alireza Jolfaei, Ali Kashif Bashir:
Robust Multimodal Representation Learning With Evolutionary Adversarial Attention Networks. 856-868 - Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve S. H. Ling, Steven W. Su:
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. 869-882 - Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang:
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. 883-893 - Xun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan:
A Survey on Evolutionary Construction of Deep Neural Networks. 894-912 - Mu Zhou, Yuexin Long, Weiping Zhang, Qiaolin Pu, Yong Wang, Wei Nie, Wei He:
Adaptive Genetic Algorithm-Aided Neural Network With Channel State Information Tensor Decomposition for Indoor Localization. 913-927 - Yu-Wei Wen, Sheng-Hsuan Peng, Chuan-Kang Ting:
Two-Stage Evolutionary Neural Architecture Search for Transfer Learning. 928-940 - Dawei Zhan, Huanlai Xing:
A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning. 941-955 - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Immune System-Inspired Hypermutation Operators for Combinatorial Optimization. 956-970 - Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels. 971-985 - Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network. 986-1000 - Aymeric Blot, Justyna Petke:
Empirical Comparison of Search Heuristics for Genetic Improvement of Software. 1001-1011
Volume 25, Number 6, December 2021
- Zhenshou Song, Handing Wang, Cheng He, Yaochu Jin:
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization. 1013-1027 - Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan:
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. 1028-1048 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. 1049-1063 - Wenhua Li, Tao Zhang, Rui Wang, Hisao Ishibuchi:
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization. 1064-1078 - Richard John Preen, Stewart W. Wilson, Larry Bull:
Autoencoding With a Classifier System. 1079-1090 - Lu Wang, Lei Ma, Chao Wang, Nenggang Xie, Jin Ming Koh, Kang Hao Cheong:
Identifying Influential Spreaders in Social Networks Through Discrete Moth-Flame Optimization. 1091-1102 - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization. 1103-1117 - Damien O'Neill, Bing Xue, Mengjie Zhang:
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks. 1118-1132 - Ran Wang, Zichao Zhang:
Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems. 1133-1147 - Ying Bi, Bing Xue, Mengjie Zhang:
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. 1148-1162 - David Issa Mattos, Jan Bosch, Helena Holmström Olsson:
Statistical Models for the Analysis of Optimization Algorithms With Benchmark Functions. 1163-1177
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