| 2025 | Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling. | Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2025 | A dual-population and three-stage constrained multi-objective evolutionary algorithm based on alternative evolution and degeneration. | Xinyu Zhou, Yanjun Zhu, Weifeng Lin |
| 2025 | A Dual-population Evolutionary Algorithm for Multi-objective Vehicle Routing Problems with Three Dimensional Loading Constraints. | Quan Zhou, Jinglong Gao, Hao Jiang |
| 2025 | Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. | Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen |
| 2025 | Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization. | Rui Zhong, Jun Yu, Xingbang Du, Enzhi Zhang, Abdelazim G. Hussien |
| 2025 | Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework. | Yingze Zhong, Hui Li, Zhan Shi, Jianyong Sun |
| 2025 | A Two-Stage Adaptive Large-Scale Evolutionary Algorithm via PCA-Guided Perturbation. | Songxiang Zhong, Min-Rong Chen, Zeyan Zhang, Jixiang Zeng, Zihua Guo |
| 2025 | MMEATC: A Multimodal Multiobjective Evolutionary Algorithm with Three Clustering Mechanisms. | Wei Zheng, Zhifang Wei, Yang Chen, Mingming Yang |
| 2025 | An Efficient Multi-Objective Shuffled Frog Leaping Algorithm-Based Method for Metabolic Pathway Design. | Xin Zhao, Haotong Li, Tao Zhang, Jiajing Qi, Yahui Cao, Ming Yang, Weijie Liu |
| 2025 | Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics. | Benjie Zhao, Ruwang Jiao, Meng Xu, Shuaishuai Liu, Chao Guo, Shaolin Wang, Jin Wang |
| 2025 | Improving Controllability of Chaotic Landscape Generators by Property Evolution. | Bo Zhang, Fengyang Sun, Lin Wang, Bo Yang |
| 2025 | FLFSI: Feature-Level Image Fusion and Improved Swarm Intelligence Optimization Algorithm for Endometrial Detection in Contrast-Enhanced Ultrasound Imaging. | Zihao Zhang, Yongjun Liu, Zhengyu Li |
| 2025 | A Multi-Objective Genetic Programming with Size Diversity for Symbolic Regression Problem. | Yujie Zhang, Guoquan Li, Zhengwen Huang, Jinshuo Jia, Xiang Li, Donghui Peng |
| 2025 | Multi-Objective Evolutionary Neural Architecture Search for Material Microstructure Segmentation. | Kainan Zhang, Chang Liu |
| 2025 | A Large-Scale Expensive Multi-Objective Optimization Algorithm Assisted By Multiple Subproblems Collaboration. | Yanke Zhang, Xiaotong Liu, Ying Tan, Chaoli Sun |
| 2025 | Learning the evaluation system for Chinese traditional music by evolution strategies. | Haotian Zhang, Xiaohong Guan, Nan Nan, Yixin Wang |
| 2025 | Application of evolutionary computation to decision-making in production processes. | Wenkang Zhang, Debin Fan, Enyan Zhu, Yan Xiao, Hu Peng, Honglian Wu |
| 2025 | Distance-Based Weak Convergence Strategy for Multimodal Multi-Objective Optimization. | Zhiyang Zhang, Qianlong Dang, Tingting Wang |
| 2025 | A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2025 | Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem. | Wenqiang Zhang, Xuan Bao, Mingzhe Li, Xixi Li |
| 2025 | Embedding Comparator for Evolutionary Neural Architecture Search via Contrastive Learning. | Xiaolei Zhang, Yu Xue, Ferrante Neri |
| 2025 | Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis. | Yuye Zhang, Fangfang Zhang, Bing Xue, Mengjie Zhang |
| 2025 | The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data. | Yuejing Zhai, Yiping Li, Huijie Li, Wuman Luo |
| 2025 | A Centroid Guided Cluster Transformation for Dynamic Multi-Objective Optimization Algorithm. | Yi Zeng, Xuewen Xia, Fenglin Lin, Yuehui Zhang, Meitong Liu |
| 2025 | Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification. | Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang |