Layout optimization of satellite module using soft computing techniques

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• 作者：Bao Zhang ; Hong-Fei Teng ; Yan-Jun Shi
• 关键词：Satellite module ; Layout ; Quasi-principal component analysis ; GA/PSO
• 刊名：Applied Soft Computing Journal
• 出版年：2008
• 出版时间：January 2008
• 年：2008
• 卷：8
• 期：1
• 页码：507-521
• 全文大小：889 K

文摘

This paper presents a hybrid method using soft computing techniques to deal with layout design problem of a satellite module. This problem is a three-dimensional layout optimization problem with behavioral constraints, and is difficult to solve in polynomial time. In this study, we firstly used a Hopfield neural network (HNN) to allocate the given apparatuses and equipment to the bearing plate surfaces in the satellite module. Then, we integrated genetic algorithm/particle swarm optimization (GA/PSO) and quasi-principal component analysis (QPCA) to deal with the further detailed layout optimization. The numerical experimental results showed the feasibility and efficiency of our method for layout optimization of a satellite module.