Multi-Objective Optimization

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Overview

The field studies problems where improving one objective—such as accuracy, cost, safety, energy use, or fairness—can worsen another, and represents the alternatives as a Pareto frontier. Common approaches include evolutionary algorithms such as NSGA-II, Bayesian optimization for expensive evaluations, gradient-based methods for learning systems, and reinforcement-learning or generative methods for sequential and design tasks. Researchers also develop preference elicitation and constraint-handling methods so people can select useful trade-offs without always computing an entire frontier. A central tension is balancing broad, reliable coverage of feasible trade-offs against evaluation cost, while scalarization, objective scaling, and changing preferences can all affect which solutions are found.

Latest papers

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270 papers40 papers in the last four weeks, up 48% on the four weeks before. 0.2% of all new papers.

  1. 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

  2. Do We Really Need to Approach the Entire Pareto Front in Many-Objective Bayesian Optimisation?

    Apr 10, 2026Chao Jiang, Jingyu Huang, Miqing LiMulti-Objective OptimizationBayesian Optimization

    School of Computer Science, University of Birmingham · School of Mathematics, University of Birmingham

  3. 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

  4. Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions

    Apr 9, 2026Diederick Vermetten, Jeroen RookMulti-Objective OptimizationSynthetic Benchmark Generation

    Sorbonne Université, CNRS, LIP6, Paris, France · Paderborn University, Paderborn, Germany

  5. Auto-Configured Networks for Multi-Scale Multi-Output Time-Series Forecasting

    Apr 8, 2026Yumeng Zha, Shengxiang Yang, Xianpeng WangTime Series ForecastingMultivariate Time Series Forecasting

    National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China · Innovative Artificial Intelligence Cluster, Digital Future Institute, De Montfort University, Leicester, U.K. · Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, China

  6. Multi-objective Evolutionary Merging Enables Efficient Reasoning Models

    Apr 7, 2026Mario Iacobelli, Adrian Robert Minut, Tommaso Mencattini +4Efficient Language Model ReasoningLanguage Model Merging

    Independent Researcher · Sapienza University of Rome · EPFL +2

  7. Beyond Compromise: Pareto-Lenient Consensus for Efficient Multi-Preference LLM Alignment

    Apr 7, 2026Renxuan Tan, Rongpeng Li, Zhifeng Zhao +1Preference AlignmentMulti-Objective Language Model Alignment

    College of Information Science and Electronic Engineering, Zhejiang University · Zhejiang Lab, Hangzhou, China · Macau University of Science and Technology, Macau, China

  8. MMORF: A Multi-agent Framework for Designing Multi-objective Retrosynthesis Planning Systems

    Apr 6, 2026Frazier N. Baker, Trieu Nguyen, Reza Averly +4Multi-Agent LLM SystemsMulti-Agent Planning

    Department of Computer Science and Engineering, The Ohio State University · Department of Mathematics and Statistics, University of South Florida · Division of Medicinal Chemistry and Pharmacognosy, The Ohio State University +2

  9. Efficient Multi-Objective Planning with Weighted Maximization Using Large Neighbourhood Search

    Apr 6, 2026Krishna Kalavadia, Shamak Dutta, Yash Vardhan Pant +1Multi-Objective Motion PlanningMulti-Objective Optimization

    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

  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. PATHFINDER: Multi-objective discovery in structural and spectral spaces

    Apr 5, 2026Kamyar Barakati, Boris N. Slautin, Utkarsh Pratiush +2Autonomous ExperimentationMulti-Objective Optimization

    Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN, USA · Department of Materials Science and Engineering, Institute of Science Tokyo, Yokohama, Japan

  12. 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

  13. Finding Sets of Pareto Sets in Real-World Scenarios -- A Multitask Multiobjective Perspective

    Apr 4, 2026Jiao Liu, Yew Soon Ong, Melvin WongEvolutionary Multitask OptimizationMulti-Objective Optimization

    College of Computing & Data Science, Nanyang Technological University, Singapore

  14. A Comprehensive Framework for Long-Term Resiliency Investment Planning under Extreme Weather Uncertainty for Electric Utilities

    Apr 2, 2026Emma BenjaminsonPower SystemsDecision-Making under Uncertainty

    Boston Consulting Group’s AI Science Institute, Pittsburgh, PA, USA

  15. Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization

    Apr 1, 2026Jinzhao Li, Nan Jiang, Yexiang XueMulti-Objective OptimizationPareto Optimization

    Department of Computer Science, Purdue University, 610 Purdue Mall, West Lafayette, 47907, IN, United States. · Department of Computer Science, University of Texas at El Paso, 500 W University Ave, El Paso, 79968, TX, United States.

  16. Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning

    Apr 1, 2026Paolo Speziali, Arno De Greef, Mehrdad Asadi +3Travel PlanningPareto Optimization

    Vrije Universiteit Brussel Brussels, Belgium · Gemeente Amsterdam Amsterdam, Netherlands

  17. 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

  18. Active Preference Learning over Latent Preference Archetypes for Many-Objective Bayesian Optimization

    Mar 30, 2026Manisha Dubey, Sebastiaan De Peuter, Wanrong Wang +1Active Preference LearningBayesian Optimization

    Department of Computer Science, University of Manchester, UK · Centre for AI in Assistive Autonomy, University of Edinburgh, Scotland, UK · Department of Computer Science, Aalto University, Espoo, Finland +2

  19. 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

  20. Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation

    Mar 27, 2026Dong Ho Lee, Jingqi Li, Lasse Peters +2Nash Equilibrium ComputationMulti-Objective Optimization

    Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, Austin, TX 78712-1221 USA · Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712-1221 USA · Department of Mechanical Engineering, UC Berkeley, Berkeley, CA 94720-1740 USA +1

  21. Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization

    Mar 27, 2026Jia Zhang, Tengfei Ma, Tianle Li +3Molecular OptimizationMulti-Objective Optimization

    College of Computer Science and Electronic Engineering, Hunan University · College of Information and Science, Hunan Normal University.

  22. 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

  23. Bridging the Evaluation Gap: Standardized Benchmarks for Multi-Objective Search

    Mar 25, 2026Hadar Peer, Carlos Hernandez, Sven Koenig +2Benchmark DesignMulti-Objective Optimization

    Technion – Israel Institute of Technology · Universidad San Sebastián · University of California, Irvine +1

  24. 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

  25. 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

  26. Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems

    Mar 22, 2026Frithjof Gressmann, Ivan Georgiev Raikov, Seung Hyun Kim +3Neural Surrogate ModelingSurrogate-Assisted Optimization

    Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL · The Grainer College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL · Department of Neurosurgery, Stanford University, Stanford, CA +3

  27. CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem

    Mar 19, 2026Fengxiaoxiao Li, Xiao Mao, Mingfeng Fan +4Neural Combinatorial OptimizationMulti-Objective Optimization

    National University of Singapore, Singapore. · China Unicom Shenzhen Branch, Shenzhen, China. · Central South University, Changsha, China.

  28. Stochastic set-valued optimization and its application to robust learning

    Mar 18, 2026Tommaso Giovannelli, Jingfu Tan, Luis Nunes VicenteStochastic OptimizationDistribution Shift Robustness

    Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH 45221, USA · Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA

  29. 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

  30. MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection

    Mar 14, 2026Lizhao Zhang, Shengsong Kong, Tao Guo +2AutoencodersEfficient Neural Network Inference

    Faculty of computing, Harbin Institute of Technology, Harbin 150000, China.