Solving redundancy optimisation problem with social emotional optimisation algorithm

被引：0
|
作者：
Yang, Chunxia [1 ]
Chen, Lichao [2 ]
Cui, Zhihua [3 ,4 ]
机构：
[1] Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
[2] Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Shanxi, Peoples R China
[3] Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
[4] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2012年 / 43卷 / 04期
基金：
中国国家自然科学基金;
关键词：
social emotional optimisation algorithm; SEOA; BP neural network; redundancy optimisation problem;
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：
Social emotional optimisation algorithm (SEOA) is a new swarm intelligent technique to stimulate human behaviours. However, up to date, there are few applications. Therefore, in this paper, SEOA is successfully applied to the redundancy optimisation problem. The objective of the redundancy allocation problem is to select from available components and to determine an optimal design configuration to maximise system reliability. BP neural network is trained to calculate the objective fitness, while SEOA is applied to check the best choice of feasibility of solution. One example is used to illustrate the effectiveness of SEOA.
引用
收藏
页码：320 / 326
页数：7
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