AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery

arXiv:2609.15820 · cs.AI · Submitted 2026-09-14 · Read on arXiv

cs.AI

Submitted: 2026-09-14

Updated: 2026-09-27

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Automated Algorithm Discovery — 11× in this paper
• Agent Skills — 5× in this paper · explained in 1 episode
• Agentic Search — 5× in this paper · explained in 1 episode
• Core — 5× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Generalization — 4× in this paper · explained in 13 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Agentic Framework — 3× in this paper · explained in 6 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• International Conference on Machine Learning — 3× in this paper
• Adaptive Reasoning — 2× in this paper · explained in 2 episodes
• Agentic Coding — 2× in this paper · explained in 1 episode
• Combinatorial Optimization — 2× in this paper · explained in 2 episodes
• Findings of the Association for Computational Linguistics — 2× in this paper
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agent Memory — 1× in this paper · explained in 1 episode
• Agentic Discovery — 1× in this paper · explained in 1 episode
• Agentic Loop — 1× in this paper · explained in 1 episode
• Agentic Memory System — 1× in this paper · explained in 1 episode
• Contextual Bandits — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• International Conference on Learning Representations — 1× in this paper
• Inverted Generational Distance — 1× in this paper
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes

Sources

• SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering
• MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework
• Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries
• LLM4AD: A Platform for Algorithm Design with Large Language Model
• ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
• Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
• AlphaEvolve: A coding agent for scientific and algorithmic discovery
• EvoDR: Evolving Dispatching Rules via Large Language Model for Dynamic Flexible Assembly Flow Shop Scheduling
• From Context to Skills: Can Language Models Learn from Context Skillfully?
• More Skills, Worse Agents? Skill Shadowing Degrades Performance When Expanding Skill Libraries
• The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents
• Agent Workflow Memory
• Semantics-Aware Bilevel Co-Evolution: Towards Automated Multicomponent Algorithm Design

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection