A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization
Joint Authors
Yao, Zhong
Zhao, FuTao
Luan, Jing
Song, Xin
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A novel fused algorithm that delivers the benefits of both genetic algorithms (GAs) and ant colony optimization (ACO) is proposed to solve the supplier selection problem.
The proposed method combines the evolutionary effect of GAs and the cooperative effect of ACO.
A GA with a great global converging rate aims to produce an initial optimum for allocating initial pheromones of ACO.
An ACO with great parallelism and effective feedback is then served to obtain the optimal solution.
In this paper, the approach has been applied to the supplier selection problem.
By conducting a numerical experiment, parameters of ACO are optimized using a traditional method and another hybrid algorithm of a GA and ACO, and the results of the supplier selection problem demonstrate the quality and efficiency improvement of the novel fused method with optimal parameters, verifying its feasibility and effectiveness.
Adopting a fused algorithm of a GA and ACO to solve the supplier selection problem is an innovative solution that presents a clear methodological contribution to optimization algorithm research and can serve as a practical approach and management reference for various companies.
American Psychological Association (APA)
Zhao, FuTao& Yao, Zhong& Luan, Jing& Song, Xin. 2016. A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111849
Modern Language Association (MLA)
Zhao, FuTao…[et al.]. A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111849
American Medical Association (AMA)
Zhao, FuTao& Yao, Zhong& Luan, Jing& Song, Xin. A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111849