EASE for LLM-Designed Evolutionary Algorithms: A GECCO 2026 Competition Entry
EASE (Effortless Algorithmic Solution Evolution), a modular framework that prompts a large language model to generate complete optimizers, evaluates them under the competition protocol, and feeds performance summaries together with improvement-oriented analysis back into subsequent iterations shows that iterative LLM-g...