Applying Ant Colony Optimization to Search All Extreme Points of Function

被引：0

作者：

Pang, Chao-Yang ^{[2
,3
]}

Liu, Hui ^{[3
]}

Li, Xia ^{[4
]}

Wang, Yun-Fei ^{[5
]}

Hu, Ben-Qiong ^{[1
]}

机构：

[1] Chengdu Univ Technol, Coll Informat Management, Chengdu 610066, Peoples R China

[2] Grp Gene Computat, Key Lab Visual Computat & Virtual Real Sichuan Pr, Chengdu 610066, Peoples R China

[3] Sichuan Normal Univ, Coll Math & Software Sci, Chengdu 610066, Peoples R China

[4] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Guangdong Prov, Peoples R China

[5] Sichuan Normal Univ, Coll Comp Sci, Chengdu 610066, Peoples R China

来源：

ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 3 | 2010年

关键词：

extremum problem; Ant Colony Optimization (ACO); ALGORITHM;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

To find all extreme points of multimodal functions is called extreme problem, which is a well known difficult issue in optimization fields. Applying the ant colony optimization (ACO) to solve this problem is rarely reported. The method of applying ACO to solve extreme problem is explored in this paper. Experiments show that the method presented in this paper generates solution with high quality, and its solution error is less than 10(-8).

引用

页码：365 / +

页数：2

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