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Structural Optimization of Satellite Based on MultiObjective Collaborative Optimization Algorithm |
YANG Lili1,CHEN Changya2,WANG Deyu1 |
(1.State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. Shanghai Institute of Satellite Engineering, Shanghai 200240, China) |
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Abstract Abstract: Aimed at the time-consuming problem of multiobjective and multiconstrained structure optimization of satellite system, a multiobjective collaborative optimization model was proposed for satellite structure. A COPE(collaboartive optimization and parto explorer) combinatorial optimization method was presented by combining collaborative optimization with the global multiobjective optimization algorithm, and taking some improvement measures in view of the defects of collaborative optimization. The multiobjective optimization of a satellite was taken as an example, where iSIGHT was used to conduct the multiobjective optimization of satellite structure. Then, the Pareto optimal set was obtained by adopting COPE. The results show that the multiobjective collaborative optimization model can simplify the complexity of optimization problem, and the COPE combinatorial optimization method based on the approximation model has good accuracy and efficiency. This method provides a certain reference value for similar complex structure optimization problem.
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Received: 02 January 2014
Published: 28 October 2014
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