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ORCIDIEEE Transactions on Evolutionary Computation, Volume 28
Volume 28, Number 1, February 2024
- Bach Hoai Nguyen
, Bing Xue, Mengjie Zhang:
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. 2-16 - Kai Zhang, Zhiwei Xu, Gary G. Yen, Ling Zhang:
Two-Stage Multiobjective Evolution Strategy for Constrained Multiobjective Optimization. 17-31 - Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi:
An Efficient Differential Grouping Algorithm for Large-Scale Global Optimization. 32-46 - Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin:
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. 47-61 - Yue Wu, Hangqi Ding, Maoguo Gong, A. Kai Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan:
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. 62-76 - Fei Ming, Wenyin Gong, Ling Wang, Liang Gao:
Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer. 77-89 - Huixin Ma, Kai Wu, Handing Wang, Jing Liu:
Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes. 90-104 - Ke Shang, Tianye Shu, Hisao Ishibuchi:
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. 105-116 - Ik Soo Lim, Naoki Masuda:
To Trust or Not to Trust: Evolutionary Dynamics of an Asymmetric N-Player Trust Game. 117-131 - Shulei Liu, Handing Wang, Wen Yao, Wei Peng:
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization. 132-146 - Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. 147-167 - Zhifang Wei, Weifeng Gao, Maoguo Gong, Gary G. Yen:
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization. 168-177 - Honggui Han, Xing Bai, Ying Hou, Junfei Qiao:
Multitask Particle Swarm Optimization With Heterogeneous Domain Adaptation. 178-192 - Mingcheng Zuo, Dunwei Gong, Yan Wang, Xianming Ye, Bo Zeng, Fanlin Meng:
Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems. 193-207 - Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search. 208-222 - Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill:
An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems. 223-237 - Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang:
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. 238-251 - Kalyanmoy Deb, Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner:
Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework. 252-266 - Juan Zou, Ruiqing Sun, Yuan Liu, Yaru Hu, Shengxiang Yang, Jinhua Zheng, Ke Li:
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint. 267-280
Volume 28, Number 2, April 2024
- Carlos Eduardo de Andrade, Luciana S. Pessoa, Slawomir Stawiarski:
The Physical Cell Identity Assignment Problem: A Practical Optimization Approach. 282-292 - Yu Zhang, Wang Hu, Wen Yao, Lixian Lian, Gary G. Yen:
Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network. 293-306 - Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. 307-322 - Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. 323-337 - Chen Yang, Qunjian Chen, Zexuan Zhu, Zhi-An Huang, Shulin Lan, Liehuang Zhu:
Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks. 338-352 - Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang:
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? 353-373 - Yiting Liu, Hao Li, Maoguo Gong, Alex Kai Qin:
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery. 374-387 - Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan:
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. 388-402 - Yu-Ran Gu, Chao Bian, Miqing Li, Chao Qian:
Subset Selection for Evolutionary Multiobjective Optimization. 403-417 - Ruohan Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
A Quantum Evolutionary Learning Tracker for Video. 418-431 - Liang Zhao, Qingfu Zhang:
Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. 432-444 - Meng-Ting Wu, Hung-I Lin, Chun-Wei Tsai:
A Training-Free Neural Architecture Search Algorithm Based on Search Economics. 445-459 - Ian Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb:
Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization Problems. 460-473 - Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen:
Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement. 474-488 - Yuanrui Li, Qiuhong Zhao, Shengxiang Yang, Yinan Guo:
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection. 489-500 - Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. 501-515 - Yiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi:
Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems. 516-530 - Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang:
A Multiagent Cooperative Learning System With Evolution of Social Roles. 531-543 - Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger:
Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization. 544-557 - Larry Bull, Haixia Liu:
On Cooperative Coevolution and Global Crossover. 558-561
Volume 28, Number 3, June 2024
- Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Guest Editorial Evolutionary Neural Architecture Search. 566-569 - Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Shi Cheng, Xingwei Wang, Min Huang, Yaochu Jin:
Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search. 570-581 - Shiming Chen, Shuhuang Chen, Wenjin Hou, Weiping Ding, Xinge You:
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning. 582-596 - José Antonio Fuentes-Tomás, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Aldo Márquez-Grajales:
Tree-Based Codification in Neural Architecture Search for Medical Image Segmentation. 597-607 - Kuangda Lyu, Hao Li, Maoguo Gong, Lining Xing, Alex Kai Qin:
Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation. 608-622 - Jian Feng, Yajie He, Yuhan Pan, Zhipeng Zhou, Si Chen, Wei Gong:
Enhancing Fitness Evaluation in Genetic Algorithm-Based Architecture Search for AI-Aided Financial Regulation. 623-637 - Xuan Wu, Di Wang, Huanhuan Chen, Lele Yan, Yubin Xiao, Chunyan Miao, Hongwei Ge, Dong Xu, Yanchun Liang, Kangping Wang, Chunguo Wu, You Zhou:
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming. 638-652 - Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang:
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. 653-667 - Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow Mong Goh, Yong Liu:
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. 668-681 - Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan:
Toward Evolutionary Multitask Convolutional Neural Architecture Search. 682-695 - Miqing Li, Manuel López-Ibáñez, Xin Yao:
Multi-Objective Archiving. 696-717 - Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. 718-732 - Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan:
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. 733-747 - Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang:
ESSR: Evolving Sparse Sharing Representation for Multitask Learning. 748-762 - Qingda Chen, Jinliang Ding, Gary G. Yen, Shengxiang Yang, Tianyou Chai:
Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments. 763-777 - Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Michael Emmerich, Kaisa Miettinen:
A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods. 778-787 - Rubén Ibarrondo, Giancarlo Gatti, Mikel Sanz:
Quantum Genetic Algorithm With Individuals in Multiple Registers. 788-797 - Yao Zhou, Bing Hu, Xianglei Yuan, Kaide Huang, Zhang Yi, Gary G. Yen:
Multiobjective Evolutionary Generative Adversarial Network Compression for Image Translation. 798-809 - Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, Bin Zhang:
A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. 810-824 - Lei Zhang, Xiang Sun, Haipeng Yang, Fan Cheng:
Sparsity-Preserved Pareto Optimization for Subset Selection. 825-836 - Tianyi Yang, Yuren Zhou:
Analysis of Multiobjective Evolutionary Algorithms on Fitness Function With Time-Linkage Property. 837-843
Volume 28, Number 4, August 2024
- Ruwang Jiao, Bing Xue, Mengjie Zhang:
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. 846-860 - Qing Li, Xin Yuan, Sannyuya Liu, Lu Gao, Tianyu Wei, Xiaoxuan Shen, Jianwen Sun:
A Genetic Causal Explainer for Deep Knowledge Tracing. 861-875 - Jingda Deng, Qingfu Zhang, Jianyong Sun, Hui Li:
A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. 876-890 - Manon Flageat, Antoine Cully:
Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains. 891-902 - Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. 903-917 - Shaolin Wang, Yi Mei, Mengjie Zhang:
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems. 918-932 - Qiang Yang, Gong-Wei Song, Wei-Neng Chen, Ya-Hui Jia, Xu-Dong Gao, Zhen-Yu Lu, Sang-Woon Jeon, Jun Zhang:
Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment. 933-949 - Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira:
Exhaustive Symbolic Regression. 950-964 - Kangjia Qiao, Jing Liang, Kunjie Yu, Caitong Yue, Hongyu Lin, Dezheng Zhang, Boyang Qu:
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm. 965-979 - Hangyu Zhu, Xilu Wang, Yaochu Jin:
Federated Many-Task Bayesian Optimization. 980-993 - Tong Guo, Yi Mei, Ke Tang, Wenbo Du:
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management. 994-1008 - Xinfang Ji, Yong Zhang, Chun-lin He, Jin-Xin Cheng, Dun-Wei Gong, Xiao-Zhi Gao, Yi-Nan Guo:
Surrogate and Autoencoder-Assisted Multitask Particle Swarm Optimization for High-Dimensional Expensive Multimodal Problems. 1009-1023 - Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue:
A Multiform Optimization Framework for Multiobjective Feature Selection in Classification. 1024-1038 - Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin:
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems. 1039-1053 - Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen:
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. 1054-1068 - Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization. 1069-1083 - Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles:
On Benchmarking Interactive Evolutionary Multiobjective Algorithms. 1084-1098 - Xianpeng Wang, Yao Wang, Lixin Tang, Qingfu Zhang:
Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry. 1099-1113 - Lindong Xie, Genghui Li, Zhenkun Wang, Laizhong Cui, Maoguo Gong:
Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration. 1114-1126 - Kunjie Yu, Dezheng Zhang, Jing Liang, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang:
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization. 1127-1140 - Kailai Gao, Cuie Yang, Jinliang Ding, Kay Chen Tan, Tianyou Chai:
Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization. 1141-1155 - Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. 1156-1176 - Tianyu Ren, Xiao-Jun Zeng:
Reputation-Based Interaction Promotes Cooperation With Reinforcement Learning. 1177-1188
Volume 28, Number 5, October 2024
- Gonglin Yuan, Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. 1190-1204 - Weizhong Wang, Hai-Lin Liu:
Conditional Generative Adversarial Network-Based Bilevel Evolutionary Multiobjective Optimization Algorithm. 1205-1219 - Chao Qian:
Can Evolutionary Clustering Have Theoretical Guarantees? 1220-1234 - Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling. 1235-1249 - Han Huang, Yueting Xu, Yi Xiang, Zhifeng Hao:
Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization. 1250-1264 - Danial Yazdani, Mohammad Nabi Omidvar, Donya Yazdani, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Robust Optimization Over Time: A Critical Review. 1265-1285 - Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. 1286-1300 - Pedro Larrañaga, Concha Bielza:
Estimation of Distribution Algorithms in Machine Learning: A Survey. 1301-1321 - Jane-Jing Liang, Zhuo Hu, Zong-Wei Li, Kangjia Qiao, Weifeng Guo:
Multiobjective Optimization-Based Network Control Principles for Identifying Personalized Drug Targets With Cancer. 1322-1335 - Hao Li, Fanggao Wan, Maoguo Gong, A. Kai Qin, Yue Wu, Lining Xing:
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption. 1336-1350 - Anirudh Suresh, Kalyanmoy Deb:
Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-Weights. 1351-1365 - Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang:
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. 1366-1380 - Guoyu Chen, Yinan Guo, Yong Wang, Jing J. Liang, Dunwei Gong, Shengxiang Yang:
Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm. 1381-1395 - Ke Li, Renzhi Chen, Xin Yao:
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. 1396-1411 - Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho:
Interactively Learning Rough Strategies That Dynamically Satisfy Investor's Preferences in Multiobjective Index Tracking. 1412-1426 - Haoxiang Qin, Wenlei Bai, Yi Xiang, Fangqing Liu, Yuyan Han, Ling Wang:
A Self-Adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. 1427-1441 - Weijie Zheng, Benjamin Doerr:
Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency for Many Objectives. 1442-1454 - Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. 1455-1469 - Shuai Wang, Aimin Zhou:
Regularity Evolution for Multiobjective Optimization. 1470-1483 - Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. 1484-1498 - Yuxiao Huang, Wei Zhou, Yu Wang, Min Li, Liang Feng, Kay Chen Tan:
Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization. 1499-1513 - Hong Yu, Xuekang Fan, Guoyin Wang, Yongfang Xie:
VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling. 1514-1528 - Juan Zou, Qi Deng, Yuan Liu, Xinjie Yang, Shengxiang Yang, Jinhua Zheng:
A Dynamic-Niching-Based Pareto Domination for Multimodal Multiobjective Optimization. 1529-1543
Volume 28, Number 6, December 2024
- Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multitask Linear Genetic Programming With Shared Individuals and Its Application to Dynamic Job Shop Scheduling. 1546-1560 - Wei Li, Edgar Buchanan, Léni K. Le Goff, Emma Hart, Matthew F. Hale, Bingsheng Wei, Matteo De Carlo, Mike Angus, Robert Woolley, Zhongxue Gan, Alan F. T. Winfield, Jon Timmis, Ágoston E. Eiben, Andy M. Tyrrell:
Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces. 1561-1574 - Ryoji Tanabe, Ke Li:
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis. 1575-1589 - Rui Zhang, Yanan Sun, Mengjie Zhang:
GPU-Based Genetic Programming for Faster Feature Extraction in Binary Image Classification. 1590-1604 - Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization. 1605-1619 - Puyu Jiang, Jun Liu, Yuansheng Cheng:
Bi-Population-Enhanced Cooperative Differential Evolution for Constrained Large-Scale Optimization Problems. 1620-1632 - Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang:
Transfer-Based Particle Swarm Optimization for Large-Scale Dynamic Optimization With Changing Variable Interactions. 1633-1643 - Tong Guo, Yi Mei, Ke Tang, Wenbo Du:
Cooperative Co-Evolution for Large-Scale Multiobjective Air Traffic Flow Management. 1644-1658 - Zeqiong Lv, Chao Qian, Yanan Sun:
Benchmarking Analysis of Evolutionary Neural Architecture Search. 1659-1673 - Shulei Liu, Wen Yao, Handing Wang, Wei Peng, Yang Yang:
Rapidly Evolving Soft Robots via Action Inheritance. 1674-1688 - Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. 1689-1703 - Aijuan Song, Guohua Wu, Ling Zhou, Ling Wang, Witold Pedrycz:
Exact and Metaheuristic Algorithms for Variable Reduction. 1704-1718 - Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan:
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization. 1719-1732 - Yanchi Li, Wenyin Gong, Shuijia Li:
Multitask Evolution Strategy With Knowledge-Guided External Sampling. 1733-1745 - Ritam Guha, Kalyanmoy Deb:
Compromising Pareto-Optimality With Regularity in Platform-Based Multiobjective Optimization. 1746-1760 - Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles. 1761-1775 - Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan:
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer. 1776-1793 - Yuhang Wang, Yuyan Han, Yuting Wang, Quan-Ke Pan, Ling Wang:
Sustainable Scheduling of Distributed Flow Shop Group: A Collaborative Multi-Objective Evolutionary Algorithm Driven by Indicators. 1794-1808 - Yue-Jiao Gong, Yuanting Zhong, Hao-Gan Huang:
Offline Data-Driven Optimization at Scale: A Cooperative Coevolutionary Approach. 1809-1823 - Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang:
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection. 1824-1837 - Xiaoyu He, Xueyan Tang, Zibin Zheng, Yuren Zhou:
Noisy Evolutionary Optimization With Application to Grid-Based Persistent Monitoring. 1838-1851 - Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Evolutionary Multitasking for Multiobjective Feature Selection in Classification. 1852-1866 - Qi-Te Yang, Zhi-Hui Zhan, Xiao-Fang Liu, Jian-Yu Li, Jun Zhang:
Grid Classification-Based Surrogate-Assisted Particle Swarm Optimization for Expensive Multiobjective Optimization. 1867-1881
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