Multi-Objective Evolutionary Optimization

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Overview

The field studies how to find sets of solutions that capture trade-offs among competing goals, rather than a single best answer. Common approaches include NSGA-II and NSGA-III, SPEA2, MOEA/D, and differential evolution, with diversity preservation and constraint-handling methods to guide the search. Current work tackles large-scale, dynamic, uncertain, and expensive problems using techniques such as variable grouping, surrogates, adaptive operators, and learned guidance, across applications from engineering design to scheduling and machine learning. A central challenge is balancing convergence, diversity, feasibility, and evaluation cost; performance remains problem-dependent, while runtime theory and reliable algorithm selection are active concerns.

Latest papers

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88 papers8 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems

    Apr 20, 2026Menghao Tang, Zimin Liang, Miqing LiEvolutionary OptimizationMulti-Objective Evolutionary Optimization

    University of Birmingham Birmingham, United Kingdom

  2. Optimising Urban Flood Resilience

    Apr 17, 2026James Mckenna, Christos Iliadis, Vassilis GlenisMulti-Objective Evolutionary Optimization

    School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom

  3. Analysis of Multitasking Pareto Optimization for Monotone Submodular Problems

    Apr 16, 2026Liam Wigney, Frank NeumannSubmodular OptimizationEvolutionary Optimization

    Optimisation and Logistics School of Computer Science and Information Technology Adelaide University Adelaide, Australia

  4. COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation

    Apr 16, 2026Heng Ping, Peiyu Zhang, Shixuan Li +5Multi-Objective Evolutionary OptimizationCode Generation

    University of Southern California United States

  5. On the use of evolutionary optimization for the dynamic chance constrained open-pit mine scheduling problem

    Apr 15, 2026Ishara Hewa Pathiranage, Aneta NeumannStochastic OptimizationChance-Constrained Optimization

    Machine Learning and Optimisation, School of Computer Science and Information Technology, Adelaide University, Adelaide, Australia

  6. On the Use of Bi-Objective Evolutionary Algorithms for the Stochastic MKP under Dynamic Constraints

    Apr 13, 2026Ishara Hewa Pathiranage, Aneta NeumannCombinatorial OptimizationConstrained Optimization

    Machine Learning and Optimisation, School of Computer Science and Information Technology, Adelaide University, Adelaide, Australia

  7. Reinforcement Learning-Guided NSGA-II Enhanced with Gray Relational Coefficient for Multi-Objective Optimization: Application to NASDAQ Portfolio Optimization

    Apr 12, 2026Zhiyuan Wang, Qinxu Ding, Ding Ding +4Multi-Objective Evolutionary OptimizationMulti-Objective Optimization

    School of Business, Singapore University of Social Sciences, Singapore 599494, Singapore

  8. SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering

    Apr 10, 2026Jingzhi Gong, Ruizhen Gu, Zhiwei Fei +7Software Engineering AgentsMulti-Objective Evolutionary Optimization

    King’s College London, London, United Kingdom · Queen’s University Belfast, Belfast, United Kingdom · Nanjing University, Nanjing, China +3

  9. Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems

    Apr 9, 2026Diego Daniel Pedroza-Perez, Gabriel Luque, Sergio Nesmachnow +1Multi-Objective OptimizationRobust Optimization

    ITIS Software, University of Malaga, Spain · Universidad de la República, Uruguay

  10. Ranking Constraints via Topological Dual-Directional Search in Evolutionary Multi-Objective Optimization

    Apr 6, 2026Ruiqing Sun, Dawei Feng, Sheng Qi +6Multi-Objective Evolutionary OptimizationEvolutionary Optimization

    National Key Laboratory of Parallel and Distributed Computing, College of Computer Science and Technology, National University of Defense Technology, Changsha 410000, P.R. China · College of System Engineering, National University of Defense Technology, Changsha 410000, P.R. China · College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, P.R. China +1

  11. RDEx-CMOP: Feasibility-Aware Indicator-Guided Differential Evolution for Fixed-Budget Constrained Multiobjective Optimization

    Apr 4, 2026Sichen Tao, Yifei Yang, Ruihan Zhao +3Multi-Objective Evolutionary OptimizationMulti-Objective Optimization

    Department of Engineering, University of Toyama, Toyama-shi 930-8555, Japan · Cyberscience Center, Tohoku University, Sendai-shi 980-8578, Japan · Faculty of Science and Technology, Hirosaki University, Hirosaki-shi 036-8560, Japan +5

  12. A Hierarchical Importance-Guided Multi-objective Evolutionary Framework for Deep Neural Network Pruning

    Apr 1, 2026Zak Khan, Azam Asilian BidgoliNeural Network PruningNeural Network Compression

    Department of Computer Science and Physics, Wilfrid Laurier University, Waterloo, N2L 3C5, Ontario, Canada

  13. A Decoupled Basis-Vector-Driven Generative Framework for Dynamic Multi-Objective Optimization

    Apr 1, 2026Yaoming Yang, Shuai Wang, Bingdong Li +2Multi-Party Multi-Objective OptimizationMulti-Objective Optimization

  14. Genetic algorithms for multi-omic feature selection: a comparative study in cancer survival analysis

    Mar 31, 2026Luca Cattelani, Vittorio FortinoFeature SelectionGenetic Algorithms

    Institute of Biomedicine, School of Medicine, University of Eastern Finland, Yliopistonranta 8, 70210, Finland

  15. A Novel Immune Algorithm for Multiparty Multiobjective Optimization

    Mar 29, 2026Kesheng Chen, Wenjian Luo, Qi Zhou +3Multi-Party Multi-Objective OptimizationMulti-Objective Optimization

    Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China. · Peng Cheng Laboratory, Shenzhen 518000, China. · School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China. +1

  16. RDEx-MOP: Indicator-Guided Reconstructed Differential Evolution for Fixed-Budget Multiobjective Optimization

    Mar 28, 2026Sichen Tao, Yifei Yang, Ruihan Zhao +3Multi-Objective Evolutionary OptimizationEvolutionary Optimization

    Department of Engineering, University of Toyama, Toyama-shi 930-8555, Japan · Cyberscience Center, Tohoku University, Sendai-shi 980-8578, Japan · Faculty of Science and Technology, Hirosaki University, Hirosaki-shi 036-8560, Japan +5

  17. Efficient Disruption of Criminal Networks through Multi-Objective Genetic Algorithms

    Mar 27, 2026Yehezkiel Darmadi, Thanh Thi Nguyen, Campbell WilsonMulti-Objective OptimizationComputational Social Science

    Faculty of Information Technology, Monash University, Melbourne, Victoria, 3800, Australia · AiLECS Lab, Faculty of Information Technology, Monash University, Melbourne, Victoria, 3800, Australia

  18. Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization

    Mar 23, 2026Jian Guan, Huolong Wu, Zhenzhong Wang +2Multi-Objective OptimizationMulti-Objective Evolutionary Optimization

    Institute of Artificial Intelligence, Xiamen University, Xiamen, 361005, China · Department of Artificial Intelligence, School of Informatics, Xiamen University; the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education; and the Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan, Ministry of Culture and Tourism, Xiamen, 361005, China · Department of Artificial Intelligence, Sichuan University, Chengdu, 610065, China

  19. Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons

    Mar 23, 2026Kesheng Chen, Wenjian Luo, Xin Lin +2UAV Trajectory OptimizationMulti-Objective Motion Planning

    Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China · Peng Cheng Laboratory, Shenzhen 518055, China · School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China

  20. MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement

    Mar 21, 2026Leandro Vignolo, Matias GerardFeature SelectionGenetic Algorithms

    Research Institute for Signals, Systems and Computational Intelligence (sınc(i)), FICH–UNL/CONICET, Ciudad Universitaria UNL, Santa Fe, Argentina.

  21. Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization

    Mar 17, 2026Shuai Shao, Ye Tian, Shangshang Yang +1Multi-Objective OptimizationMulti-Objective Evolutionary Optimization

    the School of Computer Science and Technology, Anhui University, Hefei 230601, China

  22. An Evolutionary Algorithm with Probabilistic Annealing for Large-scale Sparse Multi-objective Optimization

    Mar 12, 2026Shuai Shao, Yuhao Sun, Xing Chen +3Multi-Party Multi-Objective OptimizationMulti-Objective Optimization

    School of Computer Science and Technology, Anhui University, Hefei 230601, China · Sapient Intelligence, Singapore

  23. Multi-objective Genetic Programming with Multi-view Multi-level Feature for Enhanced Protein Secondary Structure Prediction

    Mar 11, 2026Yining Qian, Lijie Su, Meiling Xu +1Multi-View Feature FusionProtein Structure Prediction

    National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Shenyang 110819, China · Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang 110819, China · Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang 110819, China +2

  24. Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions

    Mar 9, 2026Xuanfeng Li, Shengcai Liu, Wenjie Chen +2Chance-Constrained OptimizationCombinatorial Optimization

    Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · School of Information Management, Central China Normal University, Wuhan 430079, China · Centre for Frontier AI Research, Institute of High Performance Computing, Agency for Science Technology and Research, Singapore 138632 +1

  25. Decoupling Constraints from Two Directions for Evolutionary Constrained Multi-objective Optimization

    Dec 30, 2025Ruiqing Sun, Dawei Feng, Xing Zhou +6Evolutionary OptimizationMulti-Objective Evolutionary Optimization

    College of Computer Science and Technology, National University of Defense Technology, Changsha 410000, P.R. China · College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410000, P.R. China · State Key Laboratory of Complex & Critical Software Environment, College of Information and Communication, National University of Defense Technology, Wuhan 430019, P.R. China +1

  26. PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage

    Nov 21, 2025Trieu Nguyen, Hao-Wei Pang, Shasha FengMolecular OptimizationDrug Discovery

    Merck & Co., Inc., Rahway, NJ, USA · University of South Florida, FL, USA

  27. Decomposability-Guided Cooperative Coevolution for Large-Scale Itinerary Planning

    Jun 6, 2025Ziyu Zhang, Peilan Xu, Yuetong Sun +2Travel PlanningTraveling Salesperson Problem

    School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China. · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China. · School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China. +1

  28. Diffusion-based Evolutionary Optimization for 3D Multi-Objective Molecular Generation

    May 16, 2025Ruiqing Sun, Dawei Feng, Sen Yang +53D Molecular GenerationConstrained Generative Modeling

    College of Computer Science and Technology, National University of Defense Technology, 410073, Changsha, China · Bioinformatics Center, Academy of Military Medical Sciences (AMMS), 100080, Beijing, China