Algorithm Selection

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Overview

Algorithm selection studies how to choose among available algorithms when their performance varies across problem instances, settings, or resource limits. Common approaches use meta-learning and per-instance features, learned representations such as graphs or landscape images, algorithm portfolios, and online methods that switch strategies as new evidence arrives. The goal is to improve on a single fixed choice while accounting for the cost of measuring instance features, running candidates, and deploying the selector. A central challenge is whether selection learned on benchmarks transfers reliably to unseen real-world problems and whether its end-to-end gains persist after those costs are included.

Latest papers

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50 papers5 papers in the last four weeks, down 17% on the four weeks before. 0.0% of all new papers.

  1. Learning Warm Starts for the Simplex Method from Measured Solver Cost

    Oct 14, 2026Felix Parker, Danielle A. Ripsman, Emmett Springer +1Linear ProgrammingLearning to Optimize

    Center for Systems Science and Engineering, Johns Hopkins University

  2. Certify the Decision, Not Every Score: Exact Top-k Selection from Few Evaluations

    Oct 10, 2026Yuhe Sui, Yingzhi TangDecision-Making under UncertaintyAdaptive Sampling

    Quantitative Research Society, Singapore · Nanyang Technological University, Singapore · The Chinese University of Hong Kong, Shenzhen, China

  3. Using Weisfeiler-Leman Features for Algorithm Selection in Constraint Optimisation

    Oct 8, 2026Alessio Pellegrino, Jacopo MauroAlgorithm SelectionConstraint Programming

    University of Southern Denmark, Denmark

  4. LLMs as Adaptive Meta-Solvers: Strategy-Diverse RL for Industrial-Scale Optimization

    Sep 28, 2026Shihao Zhang, Weiting Liu, Siyu Shao +4Algorithm SelectionReinforcement Learning

    East China Normal University · Alibaba Group · Fudan University +4

  5. Agentic High-Dimensional Bayesian Optimization with Hypothesis- and Evidence-Guided Search

    Sep 28, 2026Zhixuan Gao, Ke Xue, Rongxi Tan +2Algorithm SelectionBayesian Optimization

    State Key Laboratory of Novel Software Technology, Nanjing University · School of Artificial Intelligence, Nanjing University

  6. Right Choice of Classification Algorithms Based on Reinforcement Learning for Prediction of Non-Alcoholic Fatty Liver

    Sep 24, 2026Hasan Samadbin, Arman DaliriAlgorithm SelectionReinforcement Learning

    Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

  7. Multi-Agent Orchestration of 3GPP Channel Estimators

    Sep 24, 2026I. Zakir Ahmed, Hamid SadjadpourAlgorithm SelectionMulti-Agent Orchestration

    Department of Electrical and Computer Engineering University of California, Santa Cruz

  8. Partition Scores Are Not System Scores: Deployment-Fidelity Gaps in Decomposed Algorithm Selection

    Sep 12, 2026Jiachen Zhang, Yu Tang, Li ZhuAlgorithm Selection

    Department of Computer Science University of Oregon · City University of Hong Kong

  9. JumpStart Your Policy Learning with Lessons from 160,000 Training Runs

    Sep 12, 2026Nabil Omi, Eric Bae, Chung Yik Edward Yeung +2Offline RLAlgorithm Selection

    University of Washington · Microsoft

  10. Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction

    Sep 10, 2026Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2Algorithm SelectionMeta-Learning

    Department of Electrical and Computer Engineering, McMaster University, Hamilton L8S 4L8, Canada · Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran · Department of Computer Science, Seattle University, Seattle, WA 98122-1090, USA

  11. EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction

    Sep 1, 2026Yunzhen Zhang, Ruoxi Piao, Muhammad Ibrahim Ali Shah +2Algorithm SelectionEEG Decoding

    Duke Kunshan University

  12. Data-Driven Dynamic Algorithm Dispatch with Large Language Models

    Aug 21, 2026Rushil Shah, Emmanuel Lujan, Rabab Alomairy +1Algorithm SelectionHigh-Performance Computing

    Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA.

  13. Synthesizing Feature Extractors: An Agentic Approach for Algorithm Selection

    Aug 17, 2026Hai Xia, Carlos Ansótegui, Stefan SzeiderAlgorithm SelectionAutomated Feature Engineering

    Algorithms and Complexity Group, TU Wien, Vienna, Austria · Logic & Optimization Group, University of Lleida, Lleida, Spain

  14. PRISM: A Predictive Protocol for Permutation Optimization via Landscape Diagnostics

    Aug 8, 2026Blessings MambweFitness Landscape AnalysisAlgorithm Selection

    ML Collective

  15. RASP-QAOA: Resource-Aware Per-Instance Selection for Exact QAOA Simulation

    Aug 6, 2026Chih-Chung HsuAlgorithm SelectionQuantum Circuit Simulation

    Institute of Smart Industry and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

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

    Aug 4, 2026Qinglong Hu, Qingfu Zhang, Fei Liu +3Algorithm SelectionAutomated Algorithm Discovery

    Department of Computer Science, City University of Hong Kong, Hong Kong, China · Huawei Noah’s Ark Lab, China

  17. MOSAIC: Adversarial Co-evolution of Specialist Heuristics and Problem Instances for LLM-based Automated Heuristic Design

    Jul 31, 2026Oguzhan Gungordu, Siheng Xiong, Faramarz FekriAlgorithm SelectionAutomated Heuristic Design

    Georgia Institute of Technology

  18. Efficiency Matters in Autonomous Research

    Jul 27, 2026Haiqian Yang, Yuan CaoAlgorithm SelectionAutomated Evaluation

  19. Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space

    Jul 24, 2026Xavier Vasques, Paul Barbaste, Olivier OullierMI ClassificationAlgorithm Selection

    IBM Technology, Bois-Colombes, France · IBM France Lab, Orsay, France · Wavestone, Paris, France +4

  20. Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes

    Jul 21, 2026Zhaoxuan Li, Jiale Yang, Yifei Lu +1Traveling Salesperson ProblemAlgorithm Selection

    Duke Kunshan University, 8 Duke Avenue, Kunshan, 215316, China

  21. CANDOR: Chance-Calibrated Neighborhood Discordance in Frozen Encoders for Medical Imaging

    Jul 20, 2026Soroosh Tayebi Arasteh, Sven Nebelung, Daniel TruhnMedical Imaging Foundation ModelsAlgorithm Selection

    Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany · Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany

  22. A More Accurate Algorithm Comparison through A/B Testing using Offline Evaluation Methods

    Jul 2, 2026Koki Konishi, Masataka Ushiku, Yuta SaitoAlgorithm SelectionA/b Testing

    Hakuhodo DY Holdings Inc. Minato City, Tokyo, Japan · Cornell University Ithaca, New York, United States

  23. Context-Aware Synthesis of Optimization Pipelines for Warehouse Optimization

    Jun 25, 2026Janik Bischoff, Anne Meyer, Uta Mohring +6Algorithm SelectionAutomated Algorithm Discovery

    Institute for Information Management in Engineering, Karlsruhe Institute of Technology, Germany · Department of Business Administration, University of Zurich, Switzerland · Institute for Operations Research, Karlsruhe Institute of Technology, Germany +1

  24. MetaPS: Adaptive Programmatic Strategy Selection for Market Agents

    Jun 21, 2026Jiaxiang Chen, Aotian Luo, Zhouyi Zheng +3Algorithm SelectionLLM Agent Training

    1Fudan University · 2TensorPacific

  25. A Tool for the Synthesis of Adaptive Probabilistic Processors Based on the Ising Model

    Jun 17, 2026Jonathan Juracy Carneiro da Silva, Leonardo R. Gobatto, Jose Rodrigo AzambujaAlgorithm SelectionMetaheuristic Optimization

    Federal University of Rio Grande do Sul (UFRGS) – Institute of Informatics – PGMicro, Porto Alegre, Brazil · Center for Embedded Devices and Research in Digital Agriculture (CEDRA), S˜ao Leopoldo, Brazil

  26. OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization

    Jun 16, 2026Longlong Zhu, Jiashuo Yu, Zedi Chen +12Algorithm SelectionLarge Language Model-Guided Optimization

    Zhejiang University Hangzhou, Zhejiang, China · College of Computer and Data Science Fuzhou University Fuzhou, Fujian, China · Yangzhou University Yangzhou, Jiangsu, China +1

  27. Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies

    Jun 5, 2026Ekaterina Grishina, Stepan Kuznetsov, Askar Tsyganov +8Algorithm SelectionPairwise Comparison

    HSE University Moscow, Russian Federation

  28. A Game-Theoretic Decision Framework for Optimal Selection of Coordination Detection Methods in Multi-UAV Fleet Operations

    Jun 1, 2026Christian Manasseh, Savana AmmonsAlgorithm SelectionAir Traffic Management

    Mobius Logic Inc., Tysons, VA, USA

  29. Evaluating Real-World Generalizability of Algorithm Selection Models

    Jun 1, 2026Gjorgjina Cenikj, Jakub Kudela, Eva Tuba +1Algorithm SelectionCross-Domain Generalization

    Computer Systems Department Jožef Stefan Institute Ljubljana, Slovenia · Brno University of Technology Brno, Czech Republic

  30. On the Geometry of Games and their Solvers

    May 28, 2026Yaqi Sun, Julian Ma, David MguniAlgorithm SelectionGame Theory

    Queen Mary University of London · University College London