PS-FW: A Hybrid Algorithm Based on Particle Swarm and Fireworks for Global Optimization
Joint Authors
Chen, Shuangqing
Liu, Yang
Wei, Lixin
Guan, Bing
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-20
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Abstract EN
Particle swarm optimization (PSO) and fireworks algorithm (FWA) are two recently developed optimization methods which have been applied in various areas due to their simplicity and efficiency.
However, when being applied to high-dimensional optimization problems, PSO algorithm may be trapped in the local optima owing to the lack of powerful global exploration capability, and fireworks algorithm is difficult to converge in some cases because of its relatively low local exploitation efficiency for noncore fireworks.
In this paper, a hybrid algorithm called PS-FW is presented, in which the modified operators of FWA are embedded into the solving process of PSO.
In the iteration process, the abandonment and supplement mechanism is adopted to balance the exploration and exploitation ability of PS-FW, and the modified explosion operator and the novel mutation operator are proposed to speed up the global convergence and to avoid prematurity.
To verify the performance of the proposed PS-FW algorithm, 22 high-dimensional benchmark functions have been employed, and it is compared with PSO, FWA, stdPSO, CPSO, CLPSO, FIPS, Frankenstein, and ALWPSO algorithms.
Results show that the PS-FW algorithm is an efficient, robust, and fast converging optimization method for solving global optimization problems.
American Psychological Association (APA)
Chen, Shuangqing& Liu, Yang& Wei, Lixin& Guan, Bing. 2018. PS-FW: A Hybrid Algorithm Based on Particle Swarm and Fireworks for Global Optimization. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-27.
https://search.emarefa.net/detail/BIM-1130791
Modern Language Association (MLA)
Chen, Shuangqing…[et al.]. PS-FW: A Hybrid Algorithm Based on Particle Swarm and Fireworks for Global Optimization. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-27.
https://search.emarefa.net/detail/BIM-1130791
American Medical Association (AMA)
Chen, Shuangqing& Liu, Yang& Wei, Lixin& Guan, Bing. PS-FW: A Hybrid Algorithm Based on Particle Swarm and Fireworks for Global Optimization. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-27.
https://search.emarefa.net/detail/BIM-1130791
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130791