Multi-objective optimization problems: method and application
Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regul...
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| Main Authors: | , , |
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| Format: | Book Section |
| Published: |
IEEE
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/29476/ http://dx.doi.org/10.1109/ICMSAO.2011.5775623 |
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| Summary: | Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design. |
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