Multi-Objective Optimization

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  1. SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning

    Sep 14, 2026Zebin Chen, Fei Xing, Yang Chen +4Multi--Task LearningMulti-Objective Optimization

  2. Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer

    Sep 12, 2026Tingyang Wei, Haofeng Wu, Ananda Phan Iman +3Multi-Objective OptimizationTransfer Learning

  3. Threshold-Based Selection for Continuous Optimization: A Leaf-Abscission Instantiation

    Sep 11, 2026Nasser KhaliliEvolutionary AlgorithmsJoint Optimization

  4. Dynamic language model representations for multi-objective reaction optimisation

    Sep 10, 2026Joshua W. Sin, David Ming Segura, Bojana Ranković +8Heterogeneous CatalysisVast Chemical Space

  5. Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms

    Sep 9, 2026Pablo Torrijos, José A. Gámez, José M. PuertaBayesian NetworksGenetic Algorithms

  6. A practical DIRECT-type algorithm for medium-scale black-box global optimization

    Sep 9, 2026Linas Stripinis, Remigijus PaulavičiusBlack-Box OptimizationMulti-Objective Optimization

  7. A Better Spur Should Start From Each Objective

    Sep 8, 2026Shanwen Mao, Hao Zhang, Guangtao nie +4Multi-Objective Reinforcement LearningMulti-Objective Optimization

  8. ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front

    Sep 7, 2026Stephanie Holly, Sepp Hochreiter, Werner ZellingerMulti-Objective OptimizationOptimal Transport

  9. Differential Games for Compositional Handling of Competing Control Tasks

    Sep 1, 2026Joshua Shay KricheliZero--Sum Differential GameLinear Quadratic Regulator

  10. Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search

    Sep 1, 2026Enrong Pan, Ryan Zhou, Ting HuModel Self-AssessmentAlgorithm Auditing

  11. Higher Structures in Deep Learning

    Aug 31, 2026Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen +2Higher OrderTensor

  12. Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment

    Aug 30, 2026Lingxiao Kong, Steffen Staab, Cong Yang +2Evolutionary SearchLarge Language Model Alignment

  13. A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

    Aug 30, 2026Kehan Long, Yiqi Zhao, Pol Mestres +3Conformal PredictionUncertainty Quantification

  14. Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search

    Aug 16, 2026Zhongwei Yu, Yan Song, Xue Yan +9Hypothesis GenerationAgentic Discovery

  15. The Time Value of Evolution

    Aug 13, 2026Matthew Siper, Ahmed Khalifa, Julian TogeliusEvolutionary SearchFinite Planning Horizon

  16. Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks

    Aug 13, 2026Wojciech Zarzecki, Jarosław ArabasBlack-Box OptimizationBlack-Box Adversarial Attacks

  17. Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem

    Aug 13, 2026Liam Wigney, Aneta Neumann, Yew-Soon Ong +1Salesman ProblemMulti-Objective Evolutionary Algorithm

  18. Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level

    Aug 13, 2026Yicong Jiang, Feihu HuangBilevel OptimizationMulti-Objective Optimization

  19. Beyond the Best Guess: Improving LLM Solution Coverage with Evolution Strategies

    Aug 13, 2026Conor F. Hayes, Elliot Meyerson, Kajetan Schweighofer +4Evolutionary SearchSolutions

  20. Entropy-Augmented Multi-Objective Policy Optimization in Multiagent Systems

    Aug 12, 2026Jamie Santos, Ayhan Alp Aydeniz, Raghav Thakar +1Multi-Objective Evolutionary AlgorithmMulti-Agent Artificial Intelligence Systems

  21. Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids: From Robust Offline Optimization to Full-Bandit Learning

    Aug 12, 2026Vaneet AggarwalSubmodular MaximizationGeneralized Linear Bandit

  22. MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning

    Aug 12, 2026Shiji Zhou, Kunlin Lyu, Lei Zhang +2Multi--Task LearningMulti-Objective Optimization

  23. High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions

    Aug 12, 2026Hongyan Wang, Jiayu Huang, Haotian Zheng +6Multi-Objective OptimizationBayesian Optimization

  24. A Modular Agentic Framework for Synthetically Constrained Multi-Objective Hit-to-Lead Optimization

    Aug 11, 2026Kelvin P. Idanwekhai, Enes Kelestemur, Benjamin Strickland +6Drug DiscoveryEnd-To-End Agentic System

  25. EvoMem: Memory-Augmented Evolution for Code Optimization

    Aug 11, 2026Viktor Volkov, Valentin Khrulkov, Andrey V. Galichin +8Evolutionary SearchMemory-Augmented Large Language Models

  26. Optimize Cheap, Deploy Strong: Cost-Aware Cross-Tier Transfer for Evolutionary Optimization

    Aug 11, 2026Tal Oved, Roi Pony, Oshri Naparstek +1Evolutionary SearchCost-Aware

  27. Multitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints

    Aug 11, 2026Liam Wigney, Frank NeumannMulti-Objective Evolutionary AlgorithmSubmodular Maximization

  28. Identifying potentiating events in evolutionary search using replay experiments

    Aug 10, 2026Austin J. Ferguson, Alexander LalejiniEvolutionary SearchEvolutionary Algorithms

  29. Input convex neural networks as surrogates in mathematical optimisation

    Aug 10, 2026Yu Liu, Jan Kronqvist, Fabricio OliveiraMixed-Integer Linear ProgrammingSurrogate Gradient

  30. A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization

    Aug 8, 2026Víctor GallegoEvolutionary SearchHistorical Optimization Experiences

  31. PACE: Primitive-Aware Code Evolution for Automated Algorithm Design

    Aug 7, 2026Zhuoliang Xie, Ruihao Zheng, Xiang Xu +2Evolutionary SearchAlgorithmic Reasoning

  32. Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design

    Aug 7, 2026Zeinab Dehghani, Dhavalkumar Thakker, Koorosh Aslansefat +4XaiExplainable Artificial Intelligence

  33. Evolving Parallel Algorithm Portfolios via Potential-Aware Instance Generation with LLMs

    Aug 7, 2026Shaofeng Zhang, Shengcai Liu, Zhiyuan Wang +1Evolutionary SearchPortfolio Optimization

  34. MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration

    Aug 6, 2026Jia Xiong, Runkai Li, Chenxu Niu +11Evolutionary SearchNeural Architecture Search

  35. A Special Point Skeleton Reconstruction Algorithm for Dynamic Multiobjective Optimization

    Aug 6, 2026GuangXian Gan, MinRong ChenMulti-Objective Evolutionary AlgorithmSkeletonization

  36. Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging

    Aug 6, 2026Yu Gu, Zhi Zheng, Yunpeng Ba +3LLM Reasoning MethodsFinetuning

  37. ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

    Aug 5, 2026Osei Brempong, Mohammed Ayman Habib, Vivan Poddar +1Analog CircuitsMulti-Objective Reinforcement Learning

  38. Active Learning Guided Design Space Refinement for Scalable Multi-Objective Bayesian Optimization in Materials Discovery

    Aug 5, 2026Alexandros Ntagiantas, Panagiotis Tsilimidos, George Giannakopoulos +2Bayesian OptimizationMaterials Discovery

  39. ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection

    Aug 5, 2026Tiannuo Guo, Guhang Qiu, Yuzhen Xie +3Black-Box Adversarial AttacksColor

  40. Approximate Multi-Objective Search Under Rulebooks

    Aug 5, 2026Omar Muhammetkulyyev, Oren Salzman, Tichakorn WongpiromsarnConflict-Based SearchMulti-Objective Optimization

  41. Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language

    Aug 5, 2026Shengxin Kong, Liwen Xu, Jingwen FuNeural Partial Differential Equation SolversEvolutionary Search

  42. Out-Of-The-Loop Multi-Fidelity Bayesian Optimization

    Aug 4, 2026Gustavo Sutter, Hao Wang, Luis Ricardez-Sandoval +2Bayesian OptimizationMulti-Fidelity

  43. MuEvo: LLM-Driven Evolution of Multi-Heuristic Ensemble

    Aug 4, 2026Haoze Lv, Ning Lu, Shengcai Liu +2Evolutionary SearchParticle Swarm Optimization

  44. Impacts of Single-objective Landscapes on Multi-objective Optimization

    Aug 4, 2026Shoichiro Tanaka, Keiki Takadama, Hiroyuki SatoMulti-Objective OptimizationOptimization Landscape

  45. Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search

    Aug 4, 2026Qinglong Hu, Qingfu Zhang, Fei Liu +3Evolutionary SearchClustering

  46. Exploiting Separability in Multi-Scale Grey-Box Bayesian Optimization

    Aug 4, 2026Joshua E. Hammond, Tyler A. Soderstrom, Brian A. Korgel +1Black-Box OptimizationBayesian Optimization

  47. Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input

    Aug 3, 2026So Nakashima, Tetsuya J. KobayashiEvolutionary SearchMulti-Objective Optimization

  48. An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models

    Aug 3, 2026Kei Nishihara, Yaochu Jin, Masaya NakataEvolutionary AlgorithmsSurrogate Modeling

  49. GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution

    Aug 3, 2026Zhen Liu, Wanqi Zhou, Shuanghao Bai +3Neural Architecture SearchEvolutionary Search

  50. PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design

    Aug 2, 2026Charlie Pyle, Adarsh Gadari, C. Adrian Figg +3PolymerComputer-Aided Design

  51. SDDMO-Bench: A Benchmark Suite for Streaming Data-Driven Dynamic Multi-Objective Optimization

    Aug 1, 2026Wenjie Xiao, Hui Bai, Junhao ChenMulti-Objective OptimizationDrift Statistic

  52. Linear Proposal Operators and Stochastic Search Geometry in SOMA and Differential Evolution

    Jul 31, 2026Vojtěch Novák, Ivan ZelinkaEvolutionary AlgorithmsParticle Swarm Optimization

  53. Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

    Jul 30, 2026Junlin Yang, Che Jiang, Yu Fu +21Mle-Bench LiteSelf-Improvement

  54. LLM-Guided Evolutionary Search for Constraint Model Reformulation to Improve Solver Efficiency

    Jul 30, 2026Kostis Michailidis, Dimos Tsouros, Nguyen Dang +1Evolutionary SearchFuture Llm-Assisted Solver Development

  55. Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness

    Jul 30, 2026Kağan Akman, Naci Saldi, Serdar YükselGeneralization BoundsWasserstein Distance

  56. Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics

    Jul 29, 2026Pavel Novoa-HernándezSurvival AnalysisTime-Varying Systems

  57. Generative Distributionally Robust Optimization

    Jul 27, 2026Ziwei Zhang, Jonathan Yu-Meng Li, Zhihao JinDistributional LearningGenerative Models

  58. Limbomorphs

    Jul 26, 2026Alex Alvarez, Michael LevinBio-Inspired FrameworkForearm

  59. Provable Speedups From Dynamic Population Sizes in Evolutionary Algorithms for Multiobjective Optimization

    Jul 26, 2026Andre OprisMulti-Objective Evolutionary AlgorithmEvolutionary Algorithms

  60. Closed-Loop Generative Selection: Convergence, Memory, and Noisy Oracles

    Jul 24, 2026Konstantin Fackeldey, Christof SchütteDrug DesignEvolutionary Algorithms