Particle Swarm Optimization-Proximal Point Algorithm for Nonlinear Complementarity Problems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-24
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
A new algorithm is presented for solving the nonlinear complementarity problem by combining the particle swarm and proximal point algorithm, which is called the particle swarm optimization-proximal point algorithm.
The algorithm mainly transforms nonlinear complementarity problems into unconstrained optimization problems of smooth functions using the maximum entropy function and then optimizes the problem using the proximal point algorithm as the outer algorithm and particle swarm algorithm as the inner algorithm.
The numerical results show that the algorithm has a fast convergence speed and good numerical stability, so it is an effective algorithm for solving nonlinear complementarity problems.
American Psychological Association (APA)
Jun-Feng, Chai& Shu-Yan, Wang. 2013. Particle Swarm Optimization-Proximal Point Algorithm for Nonlinear Complementarity Problems. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1010803
Modern Language Association (MLA)
Jun-Feng, Chai& Shu-Yan, Wang. Particle Swarm Optimization-Proximal Point Algorithm for Nonlinear Complementarity Problems. Mathematical Problems in Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1010803
American Medical Association (AMA)
Jun-Feng, Chai& Shu-Yan, Wang. Particle Swarm Optimization-Proximal Point Algorithm for Nonlinear Complementarity Problems. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1010803
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010803