点击次数：

发布时间：2019-03-10

论文类型：期刊论文

发表时间：2008-01-01

发表刊物：APPLIED SOFT COMPUTING

收录刊物：EI、SCIE

卷号：8

期号：1

页面范围：507-521

ISSN号：1568-4946

关键字：satellite module; layout; quasi-principal component analysis; GA/PSO

摘要：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. (C) 2007 Elsevier B. V. All rights reserved.