Paper Info
Title
An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem.
Abstract
An improved particle swarm optimization (PSO) algorithm is proposed for solving bilevel multiobjective programming problem (BLMPP). For such problems, the proposed algorithm directly simulates the decision process of bilevel programming, which is different from most traditional algorithms designed for specific versions or based on specific assumptions. The BLMPP is transformed to solve multiobjective optimization problems in the upper level and the lower level interactively by an improved PSO. And a set of approximate Pareto optimal solutions for BLMPP is obtained using the elite strategy. This interactive procedure is repeated until the accurate Pareto optimal solutions of the original problem are found. Finally, some numerical examples are given to illustrate the feasibility of the proposed algorithm.
Year
DOI
Venue
2012
10.1155/2012/626717
JOURNAL OF APPLIED MATHEMATICS
Field
DocType
Volume
Particle swarm optimization,Mathematical optimization,Bilevel optimization,Algorithm,Pareto optimal,Multi-swarm optimization,Multiobjective programming,Multiobjective optimization problem,Decision process,Mathematics
Journal
2012
Issue
ISSN
Citations 
null
1110-757X
13
PageRank 
References 
Authors
0.73
17
4
Name
Order
Citations
PageRank
Tao Zhang1271.33
Tiesong Hu2695.31
Yue Zheng3130.73
Xuning Guo4271.33