| 2024 | Improving Quantum Genetic Algorithms through Recursive Search Space Exploration. | Giovanni Acampora, Autilia Vitiello |
| 2024 | Improved Discrete Cat Swarm Optimization for Optimal Multi-Trip Vehicle Routing in Case of a Natural Disaster. | Takumi Abe, Yoshikazu Fukuyama |
| 2024 | A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. | Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rckert |
| 2024 | A Deep Reinforcement Learning Assisted Heuristic for Solving Traveling Salesman Problems. | Ye Tian, Qinghui Zhu, Shuai Shao, Langchun Si, Xingyi Zhang |
| 2024 | Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization. | Ye Tian, Lianjie Yao, Shuai Shao, Yajie Zhang, Xingyi Zhang |
| 2024 | A Two-Stage Evolutionary Framework for Multi-Objective Optimization. | Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban |
| 2024 | Surrogate-Assisted Evolutionary Computation for Distributed Simulation-Based Inventory Optimization in Serial Supply Chains. | Ziang Liu, Tatsushi Nishi |
| 2024 | Forecasting Soil Moisture Using PSO-CNN - LSTM Model. | Guoyuan Zhou, Guoliang Li |
| 2024 | Information Flow and Laplacian Dynamics on Local Optima Networks. | Hendrik Richter, Sarah L. Thomson |
| 2024 | Decomposition of Difficulties in Complex Optimization Problems using a Bilevel Approach. | Ankur Sinha, Dhaval Pujara, Hemant Kumar Singh |
| 2024 | Random and Chaotic Sequences, and the Effect of their Distributions on PSO Performance. | Hendrik Richter, Paul Moritz Nrenberg |
| 2024 | Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2023 | An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. | Meyssa Zouambi, Clarisse Dhaenens, Julie Jacques |
| 2023 | An Improved Genetic Algorithm With Euclidean Geometry and Hybrid Heuristic Crossover for Traveling Salesman Problem. | Bryan Zhu, Wei-Fang Xie |
| 2023 | Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. | Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo |
| 2023 | Exact Formulas for the Computation of Expected Tchebycheff Improvement. | Liang Zhao, Qingfu Zhang |
| 2023 | A Reachability-Distance Based Differential Evolution With Individual Transfer for Multimodal Optimization Problems. | Hong Zhao, Xiangqian Li, Jing Liu |
| 2023 | Game Based Pigeon-Inspired Optimization with Repository Assistance for Stochastic Optimizations with Uncertain Infeasible Search Regions. | Daifeng Zhang, Jiliang Zhang, Yong Wang |
| 2023 | An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. | Dawei Zhan, Yuqian Gui, Tianrui Li |
| 2023 | A Comparative Study of Meta-Heuristic Algorithms for WSN Deployment Problem in Indoor Environments. | Khaoula Zaimen, Mohamed-el-Amine Brahmia, Laurent Moalic, Abdelhafid Abouaissa, Lhassane Idoumghar |
| 2023 | An Efficient Multitasking Ant Colony Optimization Framework. | Zhenjian Yu, Wei-Li Liu, Jinghui Zhong, Ting Huang, Xu Lu, Zhiyong Lin |
| 2023 | Differential Evolution with Clustering-based Niching and Adaptive Mutation for Global Optimization. | Hao Yan, Lu Zhang, Xiaoyu Wang, Qingping Liu, Mengjun Gu, Weiguo Sheng |
| 2023 | Evolutionary Multitasking Bi-Directional Particle Swarm Optimization for High-Dimensional Feature Selection. | Jia-Quan Yang, Ke-Jing Du, Chun-Hua Chen, Hua Wang, Jun Zhang, Zhi-Hui Zhan |
| 2023 | Sequential Estimation of States and Parameters of Non-Linear State Space Models Taking Account of Ensembles Not Covering True States. | Daigo Yamamoto, Haruki Yoshida, Yoshiki Kobayashi, Isao Ono |
| 2023 | Finding Robust Solutions for Many-Objective Optimization Using NSGA-III. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |