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JSIR Vol.70 [2011] >
JSIR Vol.70(07) [July 2011] >
| 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. |
| Page(s): | 506-512 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Source: | JSIR Vol.70(07) [July 2011]
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