Automated Algorithm Discovery

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. Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design

    May 16, 2026Cheikh Ahmed, Mahdi Mostajabdaveh, Zirui ZhouSurrogate-Assisted OptimizationAutomated Algorithm Discovery

  2. CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing

    May 12, 2026Ming Du, Xiangyu Yin, Yanqi Luo +4Automated Algorithm DiscoveryScientific Code Generation

  3. GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms

    May 11, 2026Juan Diego Toscano, Zhaojie Chai, George Em KarniadakisAI Agents for Scientific DiscoveryAutomated Algorithm Discovery

  4. Budget-Efficient Automatic Algorithm Design via Code Graph

    May 11, 2026Maxime Bouscary, Manxi Wu, Saurabh AminAutomated Algorithm DiscoveryLarge Language Model-Guided Optimization

  5. MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

    May 9, 2026Bohan Lyu, Yucheng Yang, Siqiao Huang +25AI Agents for Scientific DiscoveryAutomated Algorithm Discovery

  6. LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling

    May 8, 2026Tong Zheng, Haolin Liu, Chengsong Huang +10LLM Inference EfficiencyAutomated Algorithm Discovery

  7. Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS

    May 5, 2026Tong Guo, Caishun Chen, Yew Soon OngAutomated Algorithm DiscoveryLarge Language Model-Guided Optimization

  8. OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms

    Apr 29, 2026Jeremy Nixon, Annika SinghAutomated Algorithm DiscoveryLLM-Based Program Synthesis

  9. SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution

    Apr 27, 2026Sichun Luo, Yi Huang, Haochen Luo +7Automated Algorithm DiscoveryEvolutionary Optimization

  10. A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

    Apr 27, 2026Bin Chen, Shouliang Zhu, Beidan Liu +4Automated Algorithm DiscoveryAutomated Heuristic Design

  11. The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms

    Apr 11, 2026Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer +3Automated Algorithm DiscoveryWireless Communications

  12. Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers

    Apr 9, 2026Roko Peran, Luka Hobor, Mihael Kovac +1Large Language Model-Guided OptimizationNatural Language to Optimization Modeling

  13. AI-Driven Research for Databases

    Apr 8, 2026Audrey Cheng, Harald Ng, Aaron Kabcenell +5Automated Algorithm DiscoveryLarge Language Model-Guided Optimization

  14. ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation

    Apr 7, 2026Zhe Zhao, Haibin Wen, Jiaming Ma +4AI-Assisted Scientific ResearchAutomated Algorithm Discovery

  15. AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery

    Apr 7, 2026Yu Li, Chenyang Shao, Xinyang Liu +13Autonomous ExperimentationAutonomous Research Agents

  16. InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI

    Apr 5, 2026Can Wang, Hongyu Zhao, Yiqun ChenCausal Effect EstimationAutomated Algorithm Discovery

  17. ASI-Evolve: AI Accelerates AI

    Mar 31, 2026Weixian Xu, Tiantian Mi, Yixiu Liu +6Autonomous Research AgentsAutomated Algorithm Discovery

  18. Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models

    Mar 30, 2026Alkis Sygkounas, Amy Loutfi, Andreas PerssonAutomated Algorithm DiscoveryEvolutionary RL

  19. Transferable knowledge graphs with executable learned operators for algorithm design

    Mar 30, 2026Camilo Chacón Sartori, José H. García, Andrei Voicu Tomut +1Knowledge GraphsAutomated Algorithm Discovery

  20. Automated near-term quantum algorithm discovery for molecular ground states

    Mar 27, 2026Fabian Finger, Frederic Rapp, Pranav Kalidindi +10Automated Algorithm DiscoveryQuantum Chemistry

  21. Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs

    Mar 25, 2026Alexander Panfilov, Peter Romov, Igor Shilov +3Adversarial Attacks on LLMsAdversarial Prompt Generation

  22. From AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM Agents

    Mar 25, 2026Sirui Xia, Yikai Zhang, Aili Chen +3Automated Algorithm DiscoveryRL for Language Model Reasoning

  23. A Blueprint for Self-Evolving Coding Agents in Vehicle Aerodynamic Drag Prediction

    Mar 23, 2026Jinhui Ren, Huaiming Li, Yabin Liu +9Automotive AerodynamicsSurrogate Modeling

  24. DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning

    Mar 18, 2026Alexander D. Goldie, Zilin Wang, Adrian Hayler +17Automated Algorithm DiscoverySynthetic Benchmark Generation