Framework for Evaluation of Swarm-Based Chemical Reaction Optimization Algorithm

摘要

Chemical Reaction Algorithm (CRO) is a metaheuristic for optimization inspired by the nature of chemical reactions. A chemical reaction is a natural process of transforming the unstable substances to the stable ones. In this research paper a hybrid chemical reaction optimization algorithm based on local search and global search with an intuitive graphical evaluation framework is presented, which combines the advantages of Chemical Reaction Optimization and Particle Swarm Optimization.