A Novel Multiobjective Quantum-Behaved Particle Swarm Optimization Based on the Ring Model
Joint Authors
Zhou, Di
Li, Yajun
Jiang, Bin
Wang, Jun
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-12
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Due to its fast convergence and population-based nature, particle swarm optimization (PSO) has been widely applied to address the multiobjective optimization problems (MOPs).
However, the classical PSO has been proved to be not a global search algorithm.
Therefore, there may exist the problem of not being able to converge to global optima in the multiobjective PSO-based algorithms.
In this paper, making full use of the global convergence property of quantum-behaved particle swarm optimization (QPSO), a novel multiobjective QPSO algorithm based on the ring model is proposed.
Based on the ring model, the position-update strategy is improved to address MOPs.
The employment of a novel communication mechanism between particles effectively slows down the descent speed of the swarm diversity.
Moreover, the searching ability is further improved by adjusting the position of local attractor.
Experiment results show that the proposed algorithm is highly competitive on both convergence and diversity in solving the MOPs.
In addition, the advantage becomes even more obvious with the number of objectives increasing.
American Psychological Association (APA)
Zhou, Di& Li, Yajun& Jiang, Bin& Wang, Jun. 2016. A Novel Multiobjective Quantum-Behaved Particle Swarm Optimization Based on the Ring Model. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1112252
Modern Language Association (MLA)
Zhou, Di…[et al.]. A Novel Multiobjective Quantum-Behaved Particle Swarm Optimization Based on the Ring Model. Mathematical Problems in Engineering No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1112252
American Medical Association (AMA)
Zhou, Di& Li, Yajun& Jiang, Bin& Wang, Jun. A Novel Multiobjective Quantum-Behaved Particle Swarm Optimization Based on the Ring Model. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1112252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112252