| 2023 | Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: A Comparative Study. | Susanne Rosenthal |
| 2023 | On the Computational Complexity of Efficient Non-dominated Sort Using Binary Search. | Ved Prakash, Sumit Mishra, Carlos A. Coello Coello |
| 2023 | The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. | Ksenia Pereverdieva, Michael Emmerich, Andr H. Deutz, Tessa Ezendam, Thomas Bck, Hrm Hofmeyer |
| 2023 | Partially Degenerate Multi-objective Test Problems. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2023 | Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2023 | Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction. | Krzysztof Michalak, Mario Giacobini |
| 2023 | Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control. | Krzysztof Michalak |
| 2023 | MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. | Sebastian Mai, Tobias Benecke, Sanaz Mostaghim |
| 2023 | A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. | Fei Liu, Qingfu Zhang |
| 2023 | End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. | Shiqing Liu, Xueming Yan, Yaochu Jin |
| 2023 | Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. | Arnaud Liefooghe, Sbastien Vrel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2023 | Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2023 | Incorporating Preference Information Interactively in NSGA-III by the Adaptation of Reference Vectors. | Giomara Lrraga, Bhupinder Singh Saini, Kaisa Miettinen |
| 2023 | A Test Suite for Multi-objective Multi-fidelity Optimization. | Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li |
| 2023 | A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. | Victoria Johnson, Joo A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse |
| 2023 | Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2023 | Diversity Enhancement via Magnitude. | Steve Huntsman |
| 2023 | Preference-Based Nonlinear Normalization for Multiobjective Optimization. | Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. | Julia Heise, Sanaz Mostaghim |
| 2023 | A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. | Hao Hao, Aimin Zhou |
| 2023 | Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2023 | RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. | Ritam Guha, Kalyanmoy Deb |
| 2023 | IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. | Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
| 2023 | Scalability of Multi-objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems. | Antnio Gaspar-Cunha, Paulo Costa, Francisco Jos Monaco, Alexandre C. B. Delbem |
| 2023 | The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. | Andr H. Deutz, Michael Emmerich, Hao Wang |