Automated Algorithm Discovery

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Overview

Automated algorithm discovery studies how to construct or improve executable procedures—such as heuristics, numerical solvers, learning rules, and hardware policies—without specifying every design choice by hand. Common approaches use evolutionary or tree search with language models to modify code, program synthesis over reusable components, reinforcement learning, or learned search controllers; candidates are assessed with benchmarks, simulators, formal checks, and staged evaluation. Persistent memory, modular representations, diversity archives, and adaptive budget allocation help reuse findings and reduce search stagnation. A central challenge is establishing that gains reflect sound, useful algorithms rather than benchmark overfitting, noisy evaluations, recombinations of human designs, or exploitable evaluators—and that they transfer under real-world constraints.

Latest papers

CardsList

170 papers33 papers in the last four weeks, up 120% on the four weeks before. 0.2% of all new papers.

  1. Automated Grammar-based Algebraic Multigrid Design With Evolutionary Algorithms

    Mar 18, 2026Dinesh Parthasarathy, Wayne Mitchell, Arjun Gambhir +2Automated Algorithm Discovery

    Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany · Lawrence Livermore National Laboratory, USA · CERFACS, Toulouse, France and Department of Applied Mathematics, VSB-Technical University of Ostrava, Ostrava, Czech Republic

  2. Reinforced Generation of Combinatorial Structures: Ramsey Numbers

    Mar 10, 2026Ansh Nagda, Prabhakar Raghavan, Abhradeep ThakurtaAutomated Algorithm Discovery

    University of California, Berkeley, and Google DeepMind. · Google. · Google DeepMind.

  3. Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery

    Mar 9, 2026Runze Shi, Shengyu Yan, Yuecheng Cai +1Alpha Factor DiscoveryQuantitative Finance

  4. Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs

    Mar 9, 2026Chen Lu, Ke Xue, Chengrui Gao +5Automated Algorithm DiscoveryAutomated Heuristic Design

    National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · Huawei Noah’s Ark Lab, China

  5. CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models

    Mar 8, 2026Yu-Nian Wang, Shen-Huan Lyu, Ning Chen +3Automated Heuristic DesignAutomated Algorithm Discovery

    Key Laboratory of Water Big Data Technology of Ministry of Water Resources, College of Computer Science and Software Engineering, Hohai University, Nanjing, China · Department of Computer Science, City University of Hong Kong, Hong Kong, China · State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

  6. Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning

    Mar 5, 2026Xiangyu Yin, Ming Du, Junjing Deng +3Image ReconstructionAutomated Algorithm Discovery

    Advanced Photon Source, Argonne National Laboratory, Lemont, IL, USA · Department of Materials Science and NanoEngineering, Rice University, Houston, TX, USA

  7. Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

    Mar 5, 2026Michael P. Brenner, Vincent Cohen-Addad, David WoodruffLarge Language Model-Guided Scientific DiscoveryAutomated Algorithm Discovery

    Google Research · School of Engineering and Applied Sciences, Harvard University · School of Computer Science, Carnegie Mellon University and Google Research

  8. From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors

    Mar 3, 2026Qi Huang, Furong Ye, Ananta Shahane +2Large Language Model-Guided OptimizationAutomated Algorithm Discovery

    Leiden Institute of Advanced Computer Science (LIACS), Leiden University, 2333 CC Leiden, The Netherlands

  9. Rethinking Code Similarity for Automated Algorithm Design with LLMs

    Mar 3, 2026Rui Zhang, Zhichao LuAutomated Algorithm Discovery

    Department of Computer Science, City University of Hong Kong

  10. EvoX: Meta-Evolution for Automated Discovery

    Feb 26, 2026Shu Liu, Shubham Agarwal, Monishwaran Maheswaran +14Evolutionary OptimizationLLMs for Evolutionary Optimization

    UC Berkeley · Stanford University · Bespoke Labs

  11. ArchAgent: Agentic AI-driven Computer Architecture Discovery

    Feb 25, 2026Raghav Gupta, Akanksha Jain, Abraham Gonzalez +10Automated Algorithm DiscoveryAI Agents for Scientific Discovery

    University of California, Berkeley · Google · Google DeepMind

  12. Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach

    Feb 25, 2026Paolo Andreini, Alessandra Bernardi, Monica Bianchini +4Tensor DecompositionAutomated Algorithm Discovery

  13. Automating the Analysis and Improvement of Dynamic Programming Algorithms with Applications to Natural Language Processing

    Feb 20, 2026Tim VieiraDynamic ProgrammingAutomated Algorithm Discovery

    The Johns Hopkins University

  14. AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing

    Feb 19, 2026Jianda Du, Youran Sun, Haizhao YangPDE SolvingAutomated Algorithm Discovery

    Department of Mathematics, University of Maryland, College Park, MD, USA · Department of Computer Science, University of Maryland, College Park, MD, USA

  15. RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution

    Feb 18, 2026Jinming Nian, Fangchen Li, Dae Hoon Park +1Information RetrievalAutomated Algorithm Discovery

    Santa Clara University, Santa Clara, CA, USA · Independent Researcher, Bothell, WA, USA · Walmart Global Tech, Sunnyvale, CA, USA

  16. Simple Baselines are Competitive with Code Evolution

    Feb 18, 2026Yonatan Gideoni, Sebastian Risi, Yarin GalLLMs for Evolutionary OptimizationCode Generation Evaluation

    University of Oxford · Sakana AI and ITU Copenhagen

  17. MadEvolve: Evolutionary Optimization of Cosmological Algorithms with Large Language Models

    Feb 17, 2026Tianyi Li, Shihui Zang, Moritz MünchmeyerAutomated Algorithm DiscoveryScientific Code Generation

    Department of Physics, University of Wisconsin-Madison

  18. FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery

    Feb 16, 2026Yanlong Wang, Jian Xu, Hongkang Zhang +3Alpha Factor DiscoveryAlgorithmic Trading

    Tsinghua Shenzhen International Graduate School, Tsinghua University · Pengcheng Laboratory · Shenzhen Finance Institute, Chinese University of Hong Kong

  19. ImprovEvolve: Basin-Hopping Meets LLM-Guided Evolutionary Search

    Feb 10, 2026Alexey Kravatskiy, Valentin Khrulkov, Ivan OseledetsLarge Language Model-Guided Scientific DiscoveryEvolutionary Optimization

    1MIRIAI, Russia · 2FusionBrain Lab, Russia · 3AXXX, Russia +1

  20. Learning to Discover Iterative Spectral Algorithms

    Feb 10, 2026Zihang Liu, Oleg Balabanov, Yaoqing Yang +1Automated Algorithm DiscoveryLearning to Optimize

    1International Computer Science Institute · University of California, Berkeley · 4Lawrence Berkeley National Laboratory +1