| 2024 | Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. | Weijie Zheng, Benjamin Doerr |
| 2024 | Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives. | Weijie Zheng, Benjamin Doerr |
| 2023 | Evolution of an Internal Reward Function for Reinforcement Learning. | Weiyi Zuo, Joachim Winther Pedersen, Sebastian Risi |
| 2023 | Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. | Sebastian Zielinski, Jonas Nlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld |
| 2023 | Diversity-driven Multi-population Particle Swarm Optimization for Dynamic Optimization Problem. | Pei-Yao Zhu, Sheng-Hao Wu, Ke-Jing Du, Hua Wang, Jun Zhang, Zhi-Hui Zhan |
| 2023 | STHV-Net: Hypervolume Approximation based on Set Transformer. | Han Zhu, Ke Shang, Hisao Ishibuchi |
| 2023 | Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. | Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang |
| 2023 | A Comprehensive Pragmatic Investigation of Batched Acquisition Functions in Bayesian Optimization. | Ruizhe Zhou, Jinghui Zhong |
| 2023 | Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. | Tianyi Zhou, Wei Fang |
| 2023 | Evolving Better Initializations For Neural Networks With Pruning. | Ryan Zhou, Ting Hu |
| 2023 | Rethinking Population-assisted Off-policy Reinforcement Learning. | Bowen Zheng, Ran Cheng |
| 2023 | Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. | Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. | Shuaixiang Zhang, Hao Tong, Jialin Liu, Xin Yao |
| 2023 | An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. | Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2023 | Region-based Evaluation Particle Swarm Optimization with Dual Solution Libraries for Real-time Traffic Signal Timing Optimization. | Chi Zhang, Jian-Yu Li, Chun-Hua Chen, Yun Li, Zhi-Hui Zhan |
| 2023 | A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | Automatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost Converters. | Daniel F. Zambrano-Gutierrez, Jorge Mario Cruz-Duarte, Herman Castaeda |
| 2023 | Generative Meta-Learning Robust Quality-Diversity Portfolio. | Kamer Ali Yuksel |
| 2023 | Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows. | Peng Yue, Shiqing Liu, Yaochu Jin |
| 2023 | An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. | Gonglin Yuan, Bing Xue, Mengjie Zhang |
| 2023 | Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields. | Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi |
| 2023 | Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. | Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama |
| 2023 | Knowledge Shaped Behavior Generation for Online Adaptation. | Connor Yates, Kagan Tumer |
| 2023 | Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective Function. | Yusuke Yasuda, Kenichi Tamura, Keiichiro Yasuda |