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Indexed by:期刊论文

Date of Publication:2008-01-01

Journal:APPLIED SOFT COMPUTING

Included Journals:SCIE、EI

Volume:8

Issue:1

Page Number:507-521

ISSN No.:1568-4946

Key Words:satellite module; layout; quasi-principal component analysis; GA/PSO

Abstract: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.