A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization
Joint Authors
Li, Zhiyong
Ngambusabongsopa, Ransikarn
Eldesouky, Esraa
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-09
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ngambusabongsopa, Ransikarn& Li, Zhiyong& Eldesouky, Esraa. 2015. A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1073652
Modern Language Association (MLA)
Ngambusabongsopa, Ransikarn…[et al.]. A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1073652
American Medical Association (AMA)
Ngambusabongsopa, Ransikarn& Li, Zhiyong& Eldesouky, Esraa. A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1073652
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073652