Orthogonal chemical reaction optimization algorithm for global numerical optimization problems

2015 ◽  
Vol 42 (6) ◽  
pp. 3242-3252 ◽  
Author(s):  
ZhiYong Li ◽  
Zheng Li ◽  
Tien Trong Nguyen ◽  
ShaoMiao Chen
Keyword(s):  
Chemical Reaction ◽  
Optimization Algorithm ◽  
Numerical Optimization ◽  
Optimization Problems ◽  
Chemical Reaction Optimization ◽  
Global Numerical Optimization ◽  
Reaction Optimization

scholarly journals A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Ransikarn Ngambusabongsopa ◽  
Zhiyong Li ◽  
Esraa Eldesouky
Keyword(s):  
Chemical Reaction ◽  
Optimization Algorithm ◽  
Numerical Optimization ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
Chemical Reaction Optimization ◽  
Global Numerical Optimization ◽  
Mutation Operators ◽  
Reaction Optimization ◽  
Optimal Quality

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.

Sign in / Sign up

Export Citation Format

Share Document