Journal of Global Optimization
Multiobjective optimization using a Pareto differential evolution approach
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
DEMO: differential evolution for multiobjective optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
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As the development of human missions and space station, space rendezvous and docking technology is the key to modern space exploration. There are a lot of multi-objective optimization problems in aerospace field. At present, polymerization technology is often used to change multi-objective to single objective. This method makes the problem easier but gives one solution only which is not suitable for project application. In this paper, we introduce an extension of DE(SMODE) to cope with the spacecraft rendezvous problem. The experiment results indicate that SMODE is successful to locate the real Pareto front for the spacecraft rendezvous problem. Also, the effect of PopSize-population size and Max_gen-maximum number of generations of SMODE is studied.