| 2024 | An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2024 | On the Design of Diploid Memetic Algorithms for Solving the Multidimensional Multi-way Number Partitioning Problem. | Adrian Petrovan, Petrica C. Pop, Cosmin Sabo |
| 2024 | Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits. | Kokila Kasuni Perera, Frank Neumann, Aneta Neumann |
| 2024 | Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong |
| 2024 | Funnels in Multi-objective Fitness Landscapes. | Gabriela Ochoa, Arnaud Liefooghe, Sbastien Vrel |
| 2024 | Avoiding Redundant Restarts in Multimodal Global Optimization. | Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bck |
| 2024 | A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization Problems. | Kei Nishihara, Masaya Nakata |
| 2024 | Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints. | Frank Neumann, Carsten Witt |
| 2024 | Archive-Based Single-Objective Evolutionary Algorithms for Submodular Optimization. | Frank Neumann, Gnter Rudolph |
| 2024 | Improving Continuous Monte Carlo Tree Search for Identifying Parameters in Hybrid Gene Regulatory Networks. | Romain Michelucci, Denis Pallez, Tristan Cazenave, Jean-Paul Comet |
| 2024 | LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer Problems. | Tristan Marty, Nikolaus Hansen, Anne Auger, Yann Semet, Sbastien Hron |
| 2024 | Using Evolutionary Algorithms for the Search of 16-Variable Weight-Wise Perfectly Balanced Boolean Functions with High Non-linearity. | Sara Mandujano, Adriana Lara, Juan Carlos Ku-Cauich |
| 2024 | Pareto-Informed Multi-objective Neural Architecture Search. | Ganyuan Luo, Hao Li, Zefeng Chen, Yuren Zhou |
| 2024 | Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification. | Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bck, Niki van Stein |
| 2024 | When Does the Time-Linkage Property Help Optimization by Evolutionary Algorithms? | Mingfeng Li, Weijie Zheng, Wen Xie, Ao Sun, Xin Yao |
| 2024 | Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. | Dan-Xuan Liu, Chao Qian |
| 2024 | Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. | Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang |
| 2024 | GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems. | Saining Liu, Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2024 | Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization. | Kai Li, Kangnian Lin, Ruihao Zheng, Zhenkun Wang |
| 2024 | Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models. | Arnaud Liefooghe, Ryoji Tanabe, Sbastien Vrel |
| 2024 | Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems. | Zimin Liang, Zhiji Cui, Miqing Li |
| 2024 | Self-adjusting Evolutionary Algorithms are Slow on a Class of Multimodal Landscapes. | Johannes Lengler, Konstantin Sturm |
| 2024 | Overcoming Binary Adversarial Optimisation with Competitive Coevolution. | Per Kristian Lehre, Shishen Lin |
| 2024 | Solution-Based Knowledge Discovery for Multi-objective Optimization. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2024 | Evolving Populations of Solved Subgraphs with Crossover and Constraint Repair. | Jiwon Lee, Andrew M. Sutton |