| 2024 | Joint Entropy Enhanced Multi-objective Bayesian Optimization for Graph Pruning. | Weiwei Zhang, Meiling Xu, Lixin Tang |
| 2024 | A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. | Haotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, Zongben Xu |
| 2024 | PEACH: A Multi-Objective Evolutionary Algorithm for Complex Vehicle Routing with Three-Dimensional Loading Constraints. | Han Zhang, Qing Li, Xin Yao |
| 2024 | An Adaptive Interactive Routing-Packing Strategy for Split Delivery Vehicle Routing Problem with 3D Loading Constraints. | Han Zhang, Qing Li, Xin Yao |
| 2024 | Adaptive Aggregative Multitask Competitive Particle Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection. | Yong Zhang, Ke-Jing Du, Yi Jiang, Li-Min Wang, Hua Wang, Zhi-Hui Zhan |
| 2024 | A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. | Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang |
| 2024 | Synergistic Utilization of LLMs for Program Synthesis. | David Vella Zarb, Geoffrey T. Parks, Timoleon Kipouros |
| 2024 | Socialz: Multi-Feature Social Fuzz Testing. | Francisco Zanartu, Christoph Treude, Markus Wagner |
| 2024 | An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target Tracking. | Bai-Jiang Yu, Feng-Feng Wei, Tai-You Chen, Wei-Neng Chen |
| 2024 | Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based Encoding. | Seo-Ah Yu, Yong-Hyuk Kim |
| 2024 | Extending Pareto Dominance for Multi-Constraints Satisfaction and Multi-Performance Enhancement in Constrained Multi-Objective Optimization. | Fan Yu, Qun Chen, Jinlong Zhou |
| 2024 | Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. | Yingfang Yuan, Wenjun Wang, Xin Li, Kefan Chen, Yonghan Zhang, Wei Pang |
| 2024 | On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting. | Takushi Yoshikawa, Ryoji Tanabe |
| 2024 | Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. | Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna |
| 2024 | Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. | Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna |
| 2024 | Evolutionary Preference Sampling for Pareto Set Learning. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. | Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bck |
| 2024 | Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. | Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao |
| 2024 | A Deep Dive into Robust Optimization Over Time: Problems, Algorithms, and Beyond. | Danial Yazdani, Xin Yao |
| 2024 | Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. | Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama |
| 2024 | Analyzing Violation Landscapes Using Different Definitions of Constraint Violation. | Yusuke Yasuda, Kenichi Tamura, Keiichiro Yasuda |
| 2024 | Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems. | Xiankun Yan, Aneta Neumann, Frank Neumann |
| 2024 | Learning to Generate Scalable MILP Instances. | Tianxing Yang, Huigen Ye, Hua Xu |