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An Improved Multiobjective Particle Swarm Optimization Algorithm Using Minimum Distance of Point to Line
Joint Authors
Li, Guoxing
Wang, Tie
Fan, Zhengwu
Cheng, Zhi
Gu, Fengshou
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-25
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
In a multiobjective particle swarm optimization algorithm, selection of the global best particle for each particle of the population from a set of Pareto optimal solutions has a significant impact on the convergence and diversity of solutions, especially when optimizing problems with a large number of objectives.
In this paper, a new method is introduced for selecting the global best particle, which is minimum distance of point to line multiobjective particle swarm optimization (MDPL-MOPSO).
Using the basic concept of minimum distance of point to line and objective, the global best particle among archive members can be selected.
Different test functions were used to test and compare MDPL-MOPSO with CD-MOPSO.
The result shows that the convergence and diversity of MDPL-MOPSO are relatively better than CD-MOPSO.
Finally, the proposed multiobjective particle swarm optimization algorithm is used for the Pareto optimal design of a five-degree-of-freedom vehicle vibration model, which resulted in numerous effective trade-offs among conflicting objectives, including seat acceleration, front tire velocity, rear tire velocity, relative displacement between sprung mass and front tire, and relative displacement between sprung mass and rear tire.
The superiority of this work is demonstrated by comparing the obtained results with the literature.
American Psychological Association (APA)
Fan, Zhengwu& Wang, Tie& Cheng, Zhi& Li, Guoxing& Gu, Fengshou. 2017. An Improved Multiobjective Particle Swarm Optimization Algorithm Using Minimum Distance of Point to Line. Shock and Vibration،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1205077
Modern Language Association (MLA)
Fan, Zhengwu…[et al.]. An Improved Multiobjective Particle Swarm Optimization Algorithm Using Minimum Distance of Point to Line. Shock and Vibration No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1205077
American Medical Association (AMA)
Fan, Zhengwu& Wang, Tie& Cheng, Zhi& Li, Guoxing& Gu, Fengshou. An Improved Multiobjective Particle Swarm Optimization Algorithm Using Minimum Distance of Point to Line. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1205077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205077