Title :
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
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;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0003-3
DOI :
10.1109/ICMSAO.2011.5775623
