Book
Open access
Jul 2026
LLM-Driven Configuration of Genetic Algorithms for Constraint-Rich Optimization Problems
A framework that combines large language models (LLMs) for problem understanding with a structured Biased Random-Key Genetic Algorithm (BRKGA) configurator for algorithm realization is presented, allowing users to describe optimization problems in natural language and receive executable GPU-accelerated GA implementations.
Harishjitu Seesandrn, M. Sodhi, Resit Sendag
· Proceedings of the Genetic a... · 0 citations