多目标优化问题:方法与应用

2011 Fourth International Conference on Modeling, Simulation and Applied Optimization Pub Date : 2011-04-19 DOI:10.1109/ICMSAO.2011.5775623

Fatimah Sham, Ismail, K. Lumpur., Malaysia

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引用次数: 3

摘要

自组织遗传算法(SOGA)是一类启发式多目标优化方法，具有求解多个相互冲突的目标函数的能力。本文提出了一种基于多约束参数的SOGA优化多电压调节器(MVR)系统多目标元件在印刷电路板上布局的方法。基于实验测量的仿真结果表明，与初始设计相比，SOGA可以给出更好的最优解。

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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 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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2011 Fourth International Conference on Modeling, Simulation and Applied Optimization

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