OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Heuristic Design
This episode discusses the OR-Agent paper, an AI system designed for automated discovery and heuristic design. The agent merges evolutionary search with structured research to create a self-correcting computational loop. It systematically learns from successes and failures, intelligently manages its limited resources, and formalizes scientific methodology to provide a blueprint for systematic automation in complex problem-solving.