Solving redundancy optimisation problem with social emotional optimisation algorithm

Authors:
Chunxia Yang;Lichao Chen;Zhihua Cui
Affiliations:
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China.;School of Computer Science and Technology, Taiyuan University of Science and Technology, Shanxi, 030024, China.;Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China/ State Key Laboratory of Novel Software Technology, Nanjing University ...
Venue:
International Journal of Computer Applications in Technology
Year:
2012

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Abstract

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.