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Layout optimization of satellite module using soft computing techniques
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DOI：10.1016/j.asoc.2007.03.004.png)
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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.
Keyword:
satellite module
layout
quasi-principal component analysis
GA/PSO
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期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
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