Application of a Modified SAGACIA Optimization Algorithm in Multimodal Function Optimization

被引：0
|
作者：
Cao, Xiushuang [1 ]
Zhou, Haomiao [1 ]
Ma, Junshuang [1 ]
Zhou, Yaluo
机构：
[1] Tangshan Coll, Dept Informat Engn, Tangshan 063000, Peoples R China
来源：
ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION ICMS2010, VOL 5: APPLIED MATHEMATICS AND MATHEMATICAL MODELLING | 2010年
关键词：
SAGACIA Optimization Algorithm; Multimodal Function; Adaptive Step delta '; Convergence Property;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Aiming at the problem which searches step delta' parameter is invariable in the process of SAGACIA optimization algorithm, the adaptive step was presented, which makes step parameter delta' change adaptively in the process of optimization. And the modified adaptive SAGACIA optimization algorithm was used in optimizing multimodal function, which efficiently solves the partial search performance and the global convergence. The results of the applications showed that the modified SAGACIA optimization algorithm is practical and efficient.
引用
收藏
页码：110 / 113
页数：4
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