| 2024 | Multi-Objective Virtual Network Functions Placement and Traffic Routing Problem. | Nguyen Thi Tam, Tran Ho Khanh Ly, Bui Trong Duc, Tran Huy Hung, Huynh Thi Thanh Binh |
| 2024 | Repeated ε-Sampling for Many-Objective Optimization. | Yu Takei, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2024 | Multi-Object Tracking as Continuous Dynamic Environment and its Exploration by Particle Swarm Optimization. | Ryo Takano |
| 2024 | Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization. | Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato |
| 2024 | EvoIBA: Evolutionary Boundary Attack Under Hard-Label Black Box Condition. | Ayane Tajima, Satoshi Ono |
| 2024 | Distributed Bit Climbing Algorithm for Binary Multi-objective Optimization. | Yudai Tagawa, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2024 | Neural network agents trained by declarative programming tutors. | Julian Szymanski, Jan Dobrosolski, Higinio Mora, Karol Draszawka |
| 2024 | Fuzzy Utility AI for Handling Uncertainty in Video Game Bots Implementation. | Maciej Swiechowski |
| 2024 | COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals. | Ananda Sutradhar, Azam Asilian Bidgoli, Shahryar Rahnamayan |
| 2024 | On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making. | Anirudh Suresh, Kalyanmoy Deb |
| 2024 | Emotion-Conditioned MusicLM: Enhancing Emotional Resonance in Music Generation. | Yuelang Sun, Matthew Kuo, Xiaodan Wang, Weihua Li, Quan Bai |
| 2024 | Enabling Dual Subpopulations and Clustering for Multimodal Multiobjective Optimization. | Yu-Cheng Su, Yi-Ruei Chen, Chuan-Kang Ting |
| 2024 | NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. | Fergal Stapleton, Edgar Galvn |
| 2024 | Success Rate-based Adaptive Differential Evolution L-SRTDE for CEC 2024 Competition. | Vladimir Stanovov, Eugene Semenkin |
| 2024 | Differential Evolution with Success Rate-based adaptation CL-SRDE for Constrained Optimization. | Vladimir Stanovov, Eugene Semenkin |
| 2024 | A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem with Forfeits. | Gabriel Souto, Masayoshi Aritsugi, Israel Mendona, Luidi Simonetti, Pedro Henrique Gonzlez |
| 2024 | Multi-Objective Evolutionary Optimization for Tuning Hyperparameters and Reducing Features in Prediction of Deep Vein Thrombosis. | Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson |
| 2024 | A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus. | Elias A. D. Silva, Lucas S. Palmeira, Marcelo A. Garcia-Jnior, Luiz G. A. Martins, Yaochu Jin, Bruno S. Andrade, Robinson Sabino-Silva, Murillo G. Carneiro |
| 2024 | Inferring Gene Regulatory Networks from Single-Cell RNA-Sequencing Experimental Data using Cartesian Genetic Programming. | Jos Eduardo Henriques da Silva, Heder S. Bernardino, Itamar Leite de Oliveira, Jos J. Camata, Patrick C. de Carvalho |
| 2024 | Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2024 | Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking Optimization. | Jiangtao Shen, Huachao Dong, Peng Wang, Xinjing Wang, Wenxin Wang |
| 2024 | Chance Constrained Optimization for Wind Power Curve Fitting with Unclean Data. | Xun Shen |
| 2024 | Evolutionary Search of Optimal Hyperparameters for Learning Various Robot Manipulation Tasks. | Archit Sharma, Sandeep Gupta, Peeyush Thakur, Narendra Kumar Dhar, Laxmidhar Behera |
| 2024 | Prediction of Mycobacterium Tuberculosis Lineages from Annotated Whole Genome Sequences: An Evolutionary Approach. | Wilfried Segretier, Erick Stattner, David Couvin, Nalin Rastogi |
| 2024 | MVBA\_TSC: Majority Voting and Bayesian Average-Based Trustful Service Composition in Cloud and Edge Environments. | Faten Sebri, Roco Prez de Prado, Zaki Brahmi |