Multi-objective optimization problems: Method and application

Author

Ismail, Fatimah Sham ; Yusof, Rubiyah ; Waqiyuddin, S. Muhd Masduqi

Author_Institution

Center for Artificial Intell. & Robot. (CAIRO), Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia

fYear

2011

fDate

19-21 April 2011

Firstpage

1

Lastpage

6

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.

Keywords

genetic algorithms; printed circuits; voltage regulators; MVR; SOGA; heuristic multi-objective optimization method; multi voltage regulator system; multi-objective optimization problems; printed circuit board; self organizing genetic algorithm; Evolutionary computation; Genetic algorithms; Heating; Integrated circuit modeling; Load modeling; Optimization; Pulse width modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4577-0003-3

Type

conf

DOI

10.1109/ICMSAO.2011.5775623

Filename

5775623