Layout optimization of satellite module using soft computing techniques |
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Affiliation: | 1. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;2. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA |
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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. |
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