SimpleEvol: An Agent-Loop Framework for LLM-Driven Automated Heuristic Design with Minimal Human Priors
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-30
Code: https://github.com/HenryZhu1029/SimpleEvol-Master
Project page: https://artificialanalysis.ai
Sources
- CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
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- Scaling Laws for Neural Language Models
- Neural Combinatorial Optimization with Reinforcement Learning
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- OpenAI GPT-5 System Card
- GPT-4o System Card
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- What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
- CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
- A Generalist Agent
- BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
- Generalizing Verifiable Instruction Following
- Scaling Laws for Transfer
- Training Compute-Optimal Large Language Models
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