Abstract
The genetic algorithm particle swarm optimization is a concise, effective and stable algorithm to solve the hierarchical problem based on GA algorithm. In this paper, considering the advantages of the GAPSO, the modified GAPSO is proposed to optimize the reentry performance of the spacecraft. The objectives of the reentry problem are to maximize the cross range and minimize the total heat applied to the spacecraft. The simulation results demonstrate that the modified GAPSO technique presents a reliable, efficient, and accurate method for determining optimal reentry performances.
| Original language | English |
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| State | Published - 2014 |
| Event | 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013 - Shanghai, China Duration: 18 Oct 2013 → 21 Oct 2013 |
Conference
| Conference | 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013 |
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| Country/Territory | China |
| City | Shanghai |
| Period | 18/10/13 → 21/10/13 |
Keywords
- Genetic algorithm
- Particle swarm optimization
- Reentry trajectory optimization