DocumentCode :
809226
Title :
A particle swarm optimization-based method for multiobjective design optimizations
Author :
Ho, S.L. ; Yang, Shiyou ; Ni, Guangzheng ; Lo, Edward W C ; Wong, H.C.
Author_Institution :
Electr. Eng. Dept., Hong Kong Polytech. Univ., Kowloon, China
Volume :
41
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
1756
Lastpage :
1759
Abstract :
A particle swarm optimization (PSO) based algorithm for finding the Pareto solutions of multiobjective design problems is proposed. To enhance the global searching ability of the available PSOs, a novel formula for updating the particles´ velocity and position, as well as the introduction of craziness, are reported. To handle a multiobjective design problem using the improved PSO, a new fitness assignment mechanism is proposed. Moreover, two repositories, together with the age variables for their members, are introduced for storing and selecting the previous best positions of the particle as well as that of its companions. Besides, the use of age variables to enhance the diversity of the solutions is also described. The proposed method is tested on two numerical examples with promising results.
Keywords :
Pareto optimisation; electromagnetic devices; inverse problems; Pareto solutions; fitness assignment mechanism; global searching ability; inverse problem; multiobjective design optimization; multiobjective optimal algorithm; optimal design; particle position; particle swarm optimization; particle velocity; Algorithm design and analysis; Birds; Design methodology; Design optimization; Educational institutions; Marine animals; Optimization methods; Pareto optimization; Particle swarm optimization; Testing; Inverse problem; multiobjective optimal algorithm; optimal design; particle swarm optimization (PSO);
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2005.846033
Filename :
1430958
Link To Document :
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