Improved Bacterial Foraging Optimization Algorithm with Information Communication Mechanism

被引：6

作者：

Niu, Ben ^{[1
,2
,3
]}

Liu, Jing ^{[1
]}

Bi, Ying ^{[1
]}

Xie, Ting ^{[1
]}

Tan, Lijing ^{[4
]}

机构：

[1] Shenzhen Univ, Coll Management, Shenzhen 518060, Peoples R China

[2] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Hong Kong, Peoples R China

[3] Chinese Acad Sci, Hefei Inst Intelligent Machine, Hefei, Peoples R China

[4] Shenzhen Inst Informat Technol, Sch Business Adm, Shenzhen 518172, Peoples R China

来源：

2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2014年

关键词：

Bacterial Foraging Optimization; neighborhood topology; information communication;

D O I：

10.1109/CIS.2014.106

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a Structure-Redesigned-Based Bacterial Foraging Optimization (SRBFO) proposed in the previous work is used to reduce the computational time. Then by transplanting information communication mechanism to SRBFO, we proposed several variants of SRBFO with different topology structures, which are called SRBFO-ST, SRBFO-FC, SRBFO-Ri, SRBFO-VN and SRBFO-DN, respectively. A series of experiments are conducted to test the performance of those proposed algorithms and the superiority of them have been demonstrated.

引用

页码：47 / 51

页数：5

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