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ORCIDIEEE Transactions on Evolutionary Computation, Volume 30
Volume 30, Number 1, February 2026
- Xuwei Zhang
, Shixin Liu, Ziyan Zhao, Shengxiang Yang:
A Decomposition-Based Evolutionary Algorithm With Clustering and Hierarchical Estimation for Multiobjective Fuzzy Flexible Jobshop Scheduling. 2-15 - Yonggab Kim, Reem Khir, Seokcheon Lee:
Enhancing Genetic Algorithm With Explainable Artificial Intelligence for Last-Mile Routing. 16-30 - Ruwang Jiao, Bing Xue, Mengjie Zhang:
Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification. 31-45 - Zhaobo Liu, Jianhua Yuan, Haili Zhang, Tao Zeng, Zexuan Zhu:
Optimal Linear Crossover for Mitigating Negative Transfer in Evolutionary Multitasking. 46-60 - Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling. 61-75 - Bin Cao, Xiao Luo, Xin Liu, Yun Li:
Comprehensive-Forecast Multiobjective Genetic Programming for Neural Architecture Search. 76-90 - Haixu Yu, Xiang Liu, Bohui Wang, Xudong Zhao:
Particle-Assisted Deep Reinforcement Learning for Quantum State Manipulation. 91-105 - Xiaotian Song, Zeqiong Lv, Jiahao Fan, Deng Xiong, Jiancheng Lv, Jiyuan Liu, Yanan Sun:
Evolutionary Multiobjective Spiking Neural Architecture Search for Image Classification. 106-120 - Emrah Hancer, Bing Xue, Mengjie Zhang:
A Survey on Evolutionary Feature Selection in Multilabel Classification. 121-140 - Minyang Chen, Chenchen Feng, Ran Cheng:
MetaDE: Evolving Differential Evolution by Differential Evolution. 141-155 - Keisuke Korogi, Ryoji Tanabe:
Speeding Up Local Search for the Indicator-Based Subset Selection Problem by a Candidate List Strategy. 156-170 - Weiyao Cheng, Leilei Meng, Biao Zhang, Kaizhou Gao, Hongyan Sang:
Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles. 171-185 - Qianlong Dang, Qiqi Liu, Shuai Yang, Xiaoyu He:
Data-Driven Evolutionary Algorithm Based on Inductive Graph Neural Networks for Multimodal Multiobjective Optimization. 186-198 - Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Expensive Optimization via Relation. 199-213 - Rubén Saborido, Ana Belen Ruiz, Sandra González-Gallardo, Mariano Luque, Antonio Borrego:
Performance Assessment of Population-Based Multiobjective Optimization Algorithms Using Composite Indicators. 214-225 - Han Heng, Wan Rahiman:
ACO-GA-Based Optimization to Enhance Global Path Planning for Autonomous Navigation in Grid Environments. 226-240 - Hao Li, Fanggao Wan, Maoguo Gong, A. Kai Qin, Yue Wu, Lining Xing:
Many-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization With Sparse Transfer Stacking. 241-255 - Guo-Yun Lin, Zong-Gan Chen, Chuanbin Liu, Yuncheng Jiang, Sam Kwong, Jun Zhang, Zhi-Hui Zhan:
A Landscape-Aware Differential Evolution for Multimodal Optimization Problems. 256-270 - Xiaoyu Zhong, Xiangjuan Yao, Kangjia Qiao, Dunwei Gong, Yaochu Jin:
An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization. 271-285 - Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully:
Exploring the Performance-Reproducibility Trade-Off in Quality-Diversity. 286-295 - Ning Yang, Hai-Lin Liu:
Bilevel Evolutionary Multiobjective Algorithm With Multiple Lower-Level Search Modes. 296-310 - Marcel Chwialkowski, Benjamin Doerr, Martin S. Krejca:
Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark. 311-320 - Yaotong Song, Kaiyu Wang, Zhi-Hui Zhan, Zhenyu Lei, Shangce Gao:
Learning-Assisted Search Path Reconstruction Empowers Evolution Algorithm for Optimization. 321-332 - Huigen Ye, Hua Xu, Carlos A. Coello Coello:
Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultralarge-Scale Mixed Integer Linear Programs. 333-347 - Xin-Yuan Zhang, Jin-Hao Yang, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang:
Tree Structured Cooperative Coevolutionary Genetic Algorithm for Fragment Reconstruction. 348-362 - Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata:
Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. 363-377 - Ahmer Khan, Kalyanmoy Deb:
Gradual Innovative Transitional Solutions Improving Current to a Desired Target: Innovation Path. 378-392 - Hong Zhao, Xu-Hui Ning, Jian-Yu Li, Jing Liu:
Evolutionary Multitask Framework With Bi-Knowledge Transfer for Multimodal Optimization Problems. 393-407 - Amir Omeradzic, Hans-Georg Beyer:
Investigating Adaptive Population Control Strategies With Cumulative Step-Size Adaptation. 408-419 - Zhenyu Liang, Hao Li, Naiwei Yu, Kebin Sun, Ran Cheng:
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization. 420-434 - Leonardo Trujillo, Joel Nation:
Characterizing the Feature Space Transformations Produced by Genetic Programming Using the Optimal Transport Dataset Distance. 435-447
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