A Chemical Reaction-Inspired Optimization Algorithm for Biomedical Sciences

Abstract

We encounter optimization problems in our daily lives and in research in various fields. Some of them are so hard that we can, at best, approximate the best solutions with (meta-)heuristic methods. However, the huge number of optimization problems and the small number of generally acknowledged methods mean that more metaheuristics are needed to fill the gap. A new metaheuristic, called Chemical Reaction Optimization (CRO), was proposed to solve these hard problems. It mimics the interactions of molecules in a chemical reaction to reach a low energy stable state. CRO has demonstrated its competitive edge over existing methods in solving many real-world problems. It has been successfully applied to problems in many disciplines, e.g., networking, communications, operations research, computing, finance, energy and environment, computational intelligence, etc. Therefore, it provides a new approach for solving optimization problems, especially those which may not be solvable with the few generally acknowledged approaches. In this talk, we focus on the applications of CRO to biomedical sciences.