Inspired by the evolution of biological systems, genetic algorithms have been applied to generate solutions for optimization problems in a variety of scientific and engineering disciplines. For a ...

To solve this problem, we propose several hybrid multi-population genetic algorithms. First, a novel crossover operator for the genetic algorithms is designed, through which a single parent chromosome ...

🧬 MolRL-MGA Multi-Objective Drug Discovery via Genetic Algorithms and Reinforcement Learning in a Multi-Agent Framework This repository contains the implementation of a novel multi-agent ...