| 2024 | Legal Text Retrieval with Contrastive Representation Learning and Evolutionary Data Augmentation. | Youhua Zhou, Xueming Yan, Han Huang, Haowen Yan, Minghao Chen |
| 2024 | Characterising Deep Learning Loss Landscapes with Local Optima Networks. | Yuyang Zhou, Ferrante Neri, Ruibin Bai |
| 2024 | Many Objectives Autonomous Robot Path Planning with Improved MOEA/D. | Jin Zhou, David Chieng, Boon-Giin Lee, Junkai Ji, Jianqiang Li |
| 2024 | Heterogeneous UAV Swarm Task Allocation via Hierarchy Tolerance Pigeon-Inspired Optimization. | Zhiqiang Zheng, Haibin Duan, Yongbin Sun |
| 2024 | Learning-Based Problem Reduction for Large-Scale Uncapacitated Facility Location Problems. | Shuaixiang Zhang, Yixuan Yang, Hao Tong, Xin Yao |
| 2024 | A Triple Network Knowledge Learning Framework for Particle Swarm Optimization. | Zhao Zhang, Lingda Wang, Chen Chen |
| 2024 | NSMD-NAS: Retinal Image Segmentation with Neural Architecture Search and Non-Subsampled Multiscale Decomposition. | Hanyu Zhang, Lixin Tang, Xiangman Song, Te Xu |
| 2024 | Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization. | Jiajia Zhang, Chaoli Sun, Guochen Zhang, Jing Li, Hui Shi, Zongchao Xie |
| 2024 | Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework. | Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, Jun Zhao, Wei Wang |
| 2024 | The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design. | Zhongneng Zhang, Xianqi Chen, Yufeng Xia, Wen Yao, Weien Zhou, Yu Li, Bingxiao Du |
| 2024 | Multi-Optimiser Training for GANs Based on Evolutionary Computation. | Yixia Zhang, Yu Xue, Ferrante Neri |
| 2024 | Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. | Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, Jos Carlos Ortiz-Bayliss, Ivan Amaya, Juan Gabriel Avia-Cervantes |
| 2024 | Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study. | Caitong Yue, Liming Liu, Jing Liang, Gongping Li, Bi Ying, Mingyuan Yu |
| 2024 | A Language-Free Evolutionary Framework for Text-to-Image Generation. | Ming-You Ying, Rung-Tzuo Liaw |
| 2024 | Enhanced Multi-Scale Quantum Harmonic Oscillator Algorithm with Opposition-based Learning. | Xinggui Ye, Jianping Li, Peng Wang |
| 2024 | Prototype Generation with the sUpervised Classifier System on kNN Matching. | Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama |
| 2024 | High-Throughput Multi-Objective Bayesian Optimization using Gradients. | Yiming Yao, Fei Liu, Qingfu Zhang |
| 2024 | Evolutionary Dynamic Optimization-Based Calibration Framework for Agent-Based Financial Market Simulators. | Zhenhua Yang, Muyao Zhong, Peng Yang |
| 2024 | Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. | Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata |
| 2024 | Reinforcement Learning with Safe Action Generation for Autonomous Racing. | Jiacheng Yang, Yuanda Wang, Lu Dong, Xin Yuan |
| 2024 | Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization. | Sen Yang, Zusheng Tan, Jing-Yu Ji, Haoran Xie, Man Leung Wong, Sam Kwong |
| 2024 | An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems. | Lei Yang, Jinglin Tian, Jiale Cao, Kangshun Li, Chaoda Peng |
| 2024 | Feature-based Coevolution Algorithm for Multimodal Multi-objective Optimization. | Shanshan Yang, Anqi Pan, Xue Feng |
| 2024 | A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search. | Ning Yang, Hai-Lin Liu, Lei Chen, Yuping Wang, Yiu-ming Cheung |
| 2024 | Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection. | Qi-Te Yang, Liu-Yue Luo, Chun-Hua Chen, Jian-Yu Li, Jing-Hui Zhong, Jun Zhang, Zhi-Hui Zhan |