Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution
Sichun Luo, Yi Huang, Guanzhi Deng, Haibo Wang, Haochen Luo, Lei Li, Zefa Hu, Junlan Feng, Qi Liu
cs.CL, cs.AI, cs.NE
Submitted: 2026-08-06
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
- New Bounds for Zarankiewicz Numbers via Reinforced LLM Evolutionary Search
- AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- EvoX: Meta-Evolution for Automated Discovery
- Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
- SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution
- Illuminating search spaces by mapping elites
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
- LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
- PACEvolve: Enabling Progress-Aware Consistent Evolution
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