Authors: Chunxia Yang; Lichao Chen; Zhihua Cui
Addresses: 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, 210093, China
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.
Keywords: social emotional optimisation algorithm; SEOA; BP neural networks; redundancy optimisation; swarm intelligence; redundancy allocation; optimal design; system reliability.
International Journal of Computer Applications in Technology, 2012 Vol.43 No.4, pp.320 - 326
Published online: 01 Jun 2012 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article