| 2023 | A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules. Paramita Biswas, Anirban Mukhopadhyay |
| 2023 | A Novel Performance Indicator Based on the Linear Assignment Problem. Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello |
| 2023 | A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. Hao Hao, Aimin Zhou |
| 2023 | A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse |
| 2023 | A Systematic Way of Structuring Real-World Multiobjective Optimization Problems. Bekir Afsar, Johanna M. Silvennoinen, Kaisa Miettinen |
| 2023 | A Test Suite for Multi-objective Multi-fidelity Optimization. Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li |
| 2023 | A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. Fei Liu, Qingfu Zhang |
| 2023 | An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. Jinyuan Zhang, Linjun He, Hisao Ishibuchi |
| 2023 | An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles |
| 2023 | Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. Ping Guo, Qingfu Zhang, Xi Lin |
| 2023 | Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. Rui Zhong, Masaharu Munetomo |
| 2023 | Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. Renzhi Chen, Ke Li |
| 2023 | Diversity Enhancement via Magnitude. Steve Huntsman |
| 2023 | Eliminating Non-dominated Sorting from NSGA-III. Balija Santoshkumar, Kalyanmoy Deb, Lei Chen |
| 2023 | End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. Shiqing Liu, Xueming Yan, Yaochu Jin |
| 2023 | Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control. Krzysztof Michalak |
| 2023 | Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva |
| 2023 | Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2023 | IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
| 2023 | Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci |
| 2023 | Incorporating Preference Information Interactively in NSGA-III by the Adaptation of Reference Vectors. Giomara Lárraga, Bhupinder Singh Saini, Kaisa Miettinen |
| 2023 | Investigating Innovized Progress Operators with Different Machine Learning Methods. Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2023 | Joint Price Optimization Across a Portfolio of Fashion E-Commerce Products. Sagnik Sarkar, Siddhartha Devapujula, Hrishikesh Vidyadhar Ganu, Chaithanya Bandi, Ravindra Babu Tallamraju, Chilamakurthi Vamsikrishna Satya, Siddhant Doshi |
| 2023 | Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh |
| 2023 | MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. Sebastian Mai, Tobias Benecke, Sanaz Mostaghim |
| 2023 | Multi-objective Learning Using HV Maximization. Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction. Krzysztof Michalak, Mario Giacobini |
| 2023 | On the Computational Complexity of Efficient Non-dominated Sort Using Binary Search. Ved Prakash, Sumit Mishra, Carlos A. Coello Coello |
| 2023 | Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. Julia Heise, Sanaz Mostaghim |
| 2023 | Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato |
| 2023 | Partially Degenerate Multi-objective Test Problems. Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2023 | Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann |
| 2023 | Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2023 | Preference-Based Nonlinear Normalization for Multiobjective Optimization. Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich |
| 2023 | RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. Ritam Guha, Kalyanmoy Deb |
| 2023 | Scalability of Multi-objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems. António Gaspar-Cunha, Paulo Costa, Francisco José Monaco, Alexandre C. B. Delbem |
| 2023 | Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: A Comparative Study. Susanne Rosenthal |
| 2023 | Sparse Adversarial Attack via Bi-objective Optimization. Phoenix Neale Williams, Ke Li, Geyong Min |
| 2023 | Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. Kaifeng Yang, Michael Affenzeller |
| 2023 | The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. André H. Deutz, Michael Emmerich, Hao Wang |
| 2023 | The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer |
| 2023 | Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. André Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bäck |
| 2023 | Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2023 | Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. Tea Tusar, Aljosa Vodopija, Bogdan Filipic |