DocumentCode
2995212
Title
Solving multi objective optimization problems using particle swarm optimization
Author
Zhang, L.B. ; Zhou, C.G. ; Liu, X.H. ; Ma, Z.Q. ; Ma, M. ; Liang, Y.C.
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Volume
4
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
2400
Abstract
An algorithm for solving multiobjective optimization problems is presented based on PSO through the improvement of the selection manner for global and individual extremum. The search for the Pareto optimal set of multiobjective optimization problems is performed. Numerical simulations show the effectiveness of the proposed algorithm.
Keywords
Pareto optimisation; evolutionary computation; genetic algorithms; search problems; Pareto optimal set; genetic algorithm; multiobjective optimization problem; numerical simulation; particle swarm optimization; search problem; Birds; Computer science; Design optimization; Evolutionary computation; High performance computing; Numerical simulation; Pareto optimization; Particle production; Particle swarm optimization; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299388
Filename
1299388
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