Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/12058
Title: Application of new niche genetic algorithm on electromagnetic system optimization
Authors: Li, Zheng
Keywords: Electromagnetic system
Genetic algorithm (GA)
Niche genetic algorithm (NGA)
Optimization design
Issue Date: Jul-2011
Publisher: NISCAIR-CSIR, India
Abstract: In this paper, an improved niche genetic algorithm (NGA) is presented and applied to optimal design of motor electromagnetic system. NGA surmounts effectively the local convergence problem of standard genetic algorithm (GA). Sharing-between-population mechanism is proposed by means of using better factor of population, saving best result strategy and enhancing global and partial searching ability for earlier achievement of optimal solution. Compared with initial design, ultimate design can meet desired technical specifications, which proves feasibility and advantages of improved NGA.
Description: 506-512
URI: http://hdl.handle.net/123456789/12058
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.70(07) [July 2011]

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