A novel orthogonal simulated annealing algorithm for optimization of electromagnetic problems

被引：0

作者：

Shu, LS ^{[1
]}

Ho, SJ

Ho, SY

机构：

[1] Feng Chia Univ, Dept Informat Engn, Taichung 407, Taiwan

[2] Natl Huwei Inst Technol, Dept Automat Engn, Huwei 632, Yunlin, Taiwan

来源：

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING | 2003年 / 2690卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel orthogonal simulated annealing algorithm OSA for optimizations of electromagnetic problems is proposed in this paper. High performance of OSA mainly arises from an intelligent generation mechanism (IGM) based on orthogonal experimental design (OED). The OED-based IGM can efficiently generate a good candidate solution for next move by using a systematic reasoning method instead of the conventional method of random perturbation. It is shown empirically that OSA performs well in solving parametric optimization problems and in designing optimal electromagnetic devices, compared with some existing optimization methods using simulated annealing algorithms and genetic algorithms.

引用

页码：415 / 420

页数：6

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