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Multi-swingby optimization of mission to Saturn using global optimization algorithms 被引量:5
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作者 Kaijian Zhu Junfeng Li Hexi Baoyin School of Aerospace, Tsinghua University,100084 Beijing, China 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2009年第6期839-845,共7页
Based on the trajectory design of a mission to Saturn, this paper discusses four different trajectories in various swingby cases. We assume a single impulse to be applied in each case when the spacecraft approaches a ... Based on the trajectory design of a mission to Saturn, this paper discusses four different trajectories in various swingby cases. We assume a single impulse to be applied in each case when the spacecraft approaches a celestial body. Some optimal trajectories ofEJS, EMS, EVEJS and EVVEJS flying sequences are obtained using five global optimization algorithms: DE, PSO, DP, the hybrid algorithm PSODE and another hybrid algorithm, DPDE. DE is proved to be supe- rior to other non-hybrid algorithms in the trajectory optimi- zation problem. The hybrid algorithm of PSO and DE can improve the optimization performance of DE, which is vali- dated by the mission to Saturn with given swingby sequences. Finally, the optimization results of four different swingby sequences are compared with those of the ACT of ESA. 展开更多
关键词 Swingby trajectory . global optimization .Hybrid algorithm . Mission design
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Hybrid Meta-Model Based Design Space Differentiation Method for Expensive Problems 被引量:1
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作者 Nianfei Gan Guangyao Li Jichao Gu 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2016年第2期120-132,共13页
In this work,a hybrid meta-model based design space differentiation(HMDSD)method is proposed for practical problems.In the proposed method,an iteratively reduced promising region is constructed using the expensive p... In this work,a hybrid meta-model based design space differentiation(HMDSD)method is proposed for practical problems.In the proposed method,an iteratively reduced promising region is constructed using the expensive points,with two different search strategies respectively applied inside and outside the promising region.Besides,the hybrid meta-model strategy applied in the search process makes it possible to solve the complex practical problems.Tested upon a serial of benchmark math functions,the HMDSD method shows great efficiency and search accuracy.On top of that,a practical lightweight design demonstrates its superior performance. 展开更多
关键词 hybrid meta-model design space differentiation expensive problems global optimization
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