Multiobjective Particle Swarm Optimization Based on PAM and Uniform Design
Joint Authors
Zhang, Jie
Zhu, Xiaoshu
Feng, Junhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-31
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
In MOPSO (multiobjective particle swarm optimization), to maintain or increase the diversity of the swarm and help an algorithm to jump out of the local optimal solution, PAM (Partitioning Around Medoid) clustering algorithm and uniform design are respectively introduced to maintain the diversity of Pareto optimal solutions and the uniformity of the selected Pareto optimal solutions.
In this paper, a novel algorithm, the multiobjective particle swarm optimization based on PAM and uniform design, is proposed.
The differences between the proposed algorithm and the others lie in that PAM and uniform design are firstly introduced to MOPSO.
The experimental results performing on several test problems illustrate that the proposed algorithm is efficient.
American Psychological Association (APA)
Zhu, Xiaoshu& Zhang, Jie& Feng, Junhong. 2015. Multiobjective Particle Swarm Optimization Based on PAM and Uniform Design. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1072944
Modern Language Association (MLA)
Zhu, Xiaoshu…[et al.]. Multiobjective Particle Swarm Optimization Based on PAM and Uniform Design. Mathematical Problems in Engineering No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1072944
American Medical Association (AMA)
Zhu, Xiaoshu& Zhang, Jie& Feng, Junhong. Multiobjective Particle Swarm Optimization Based on PAM and Uniform Design. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1072944
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072944
