Ismail, Fatimah Sham and Yusof, Rubiyah and Waqiyuddin, S. M. M. (2011) Multi-objective optimization problems: method and application. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, Massachusetts, 001-006. ISBN 978-1-4577-0003-3
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Official URL: http://dx.doi.org/10.1109/ICMSAO.2011.5775623
Abstract
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.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | evolutionary computation , genetic algorithms , heating, integrated circuit modeling, load modeling, optimization, pulse width modulation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 29476 |
| Deposited By: | Liza Porijo |
| Deposited On: | 12 Mar 2013 04:31 |
| Last Modified: | 04 Feb 2017 07:41 |
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