| 2024 | Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production. | Helga Ingimundardottir, Thomas Philip Runarsson |
| 2024 | A Random Forest-Assisted Local Search for Expensive Permutation-based Combinatorial Optimization Problems. | Takashi Ikeguchi, Shun Sudo, Yuji Koguma, Masaya Nakata |
| 2024 | Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems. | Gerardo Ibarra-Vzquez, Hugo Terashima-Marn, Carlos A. Coello Coello |
| 2024 | An Interior-point Genetic Algorithm with Restarts for Flexible Job Shop Scheduling Problems. | David Hutter, Michael Hellwig, Thomas Steinberger |
| 2024 | The Vehicle Routing Problem with Drones and Flexibility Demands. | Tran Thi Hue, Bao Nguyen, Quoc Nguyen, Pham Phu Manh, Nguyen Khanh Phuong, Huynh Thi Thanh Binh, Dang Quang Thang |
| 2024 | Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming. | Tzu-Hao Hsu, Chi-Hsien Chang, Tian-Li Yu |
| 2024 | A Dual Surrogate-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems. | Yuma Horaguchi, Masaya Nakata |
| 2024 | An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. | Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang |
| 2024 | Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. | Tomoya Hmberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu |
| 2024 | Evolution of Developmental Plasticity of Soft Virtual Creatures in Changing Environments. | Ryunosuke Higashinaka, Reiji Suzuki, Takaya Arita |
| 2024 | Dynamic Multi-objective Optimisation Problems with Changes of Varying Frequency and Severity. | Mard Helbig |
| 2024 | Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. | Michael Heider, Maximilian Krischan, Roman Sraj, Jrg Hhner |
| 2024 | Intelligent Blocking and Prevention of SARS-CoV-2 Based on Evolutionary Reinforcement Learning. | Chengwei He, Huaping Hong, Lijia Ma, Qingling Zhu, Yuan Bai |
| 2024 | Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming. | Yifan He, Claus Aranha |
| 2024 | Evaluating Machine Learning Techniques for Predicting Salinity. | Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2024 | Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis. | Tomohiro Harada, Enrique Alba, Gabriel Luque |
| 2024 | Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. | Hao Hao, Xiaoqun Zhang, Aimin Zhou |
| 2024 | VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System. | Kate Han, Truong Thanh Nguyen, Viet Anh Vu, Alan Wee-Chung Liew, Truong Dang, Tien Thanh Nguyen |
| 2024 | Analysis of the Impact of Prediction Accuracy on Search Performance in Surrogate-assisted Evolutionary Algorithms. | Yuki Hanawa, Tomohiro Harada, Yukiya Miura |
| 2024 | Constraint Consensus for Solving Large-scale Constrained Optimization Problems. | Noha M. Hamza, Ruhul A. Sarker, Daryl Essam, Saber M. Elsayed |
| 2024 | A Surrogate-Assisted Clustering-Based Evolutionary Algorithm for Expensive Optimization. | Chunlong Hai, Jiazhen Wang, Liquan Mei |
| 2024 | Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization. | Haoran Gu, Handing Wang, Jingjing Ma |
| 2024 | Scalable Polynomial RegEM(a)O for Multi-lMany-objective Platform-based Design Optimization Problems. | Ritam Guha, Kalyanmoy Deb |
| 2024 | Interactive Final Solution Selection in Multi-Objective Optimization. | Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. | Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen |