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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 375902, 17 pages
Research Article

A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization

1College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China
2Faculty of Computers and Informatics, Suez Canal University, Ismailia 41522, Egypt

Received 10 August 2015; Accepted 29 September 2015

Academic Editor: Julien Bruchon

Copyright © 2015 Ransikarn Ngambusabongsopa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposes a hybrid metaheuristic approach that improves global numerical optimization by increasing optimal quality and accelerating convergence. This algorithm involves a recently developed process for chemical reaction optimization and two adjustment operators (turning and mutation operators). Three types of mutation operators (uniform, nonuniform, and polynomial) were combined with chemical reaction optimization and turning operator to find the most appropriate framework. The best solution among these three options was selected to be a hybrid mutation chemical reaction optimization algorithm for global numerical optimization. The optimal quality, convergence speed, and statistical hypothesis testing of our algorithm are superior to those previous high performance algorithms such as RCCRO, HP-CRO2, and OCRO.