Niching genetic algorithm with restricted competition selection for multimodal function optimization
Conference
·
· IEEE Transactions on Magnetics
OSTI ID:6207340
- Dong-Eui Univ. (Korea, Republic of). Dept. of Electrical Engineering
- Seoul National Univ. (Korea, Republic of). School of Electrical Engineering
Niching method enables the genetic algorithm to be applied to the problems that require the location of multiple solutions in the search space. In this paper, a new niching method using restricted competition selection (RCS) is proposed to identify and search multiple niches (peaks) efficiently in a multimodal domain. To verify its validity, the proposed method is applied to some traditional mathematical problems and an induction motor design.
- OSTI ID:
- 6207340
- Report Number(s):
- CONF-9806101--
- Journal Information:
- IEEE Transactions on Magnetics, Journal Name: IEEE Transactions on Magnetics Vol. 35:3Pt1; ISSN IEMGAQ; ISSN 0018-9464
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320303* -- Energy Conservation
Consumption
& Utilization-- Industrial & Agricultural Processes-- Equipment & Processes
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
COMPUTER-AIDED DESIGN
DESIGN
EFFICIENCY
ELECTRIC MOTORS
ENGINES
MATHEMATICAL LOGIC
MOTORS
OPTIMIZATION
STOCHASTIC PROCESSES
320303* -- Energy Conservation
Consumption
& Utilization-- Industrial & Agricultural Processes-- Equipment & Processes
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
COMPUTER-AIDED DESIGN
DESIGN
EFFICIENCY
ELECTRIC MOTORS
ENGINES
MATHEMATICAL LOGIC
MOTORS
OPTIMIZATION
STOCHASTIC PROCESSES