Title :
Optimized design of responsive reconnaissance satellite constellation with hierarchical genetic algorithm
Author :
Wu, Yu-Fei ; Liao, Yu-Rong ; Wang, Dan
Author_Institution :
Acad. of Equip. Command & Technol., Beijing, China
Abstract :
The mission requirements are analyzed and the optimization model of responsive satellite constellation design which can simultaneously optimize constellation structure and orbit parameters is built. As the number of variables involved in the model is large, classical genetic algorithms will have difficulty in obtaining satisfying results in acceptable time. The hierarchical genetic algorithm is designed to resolve the optimization model. The mutation operators and the crossover operators of the ground layer genetic algorithm are modified. The model and algorithms are validated through a numerical example.
Keywords :
genetic algorithms; satellite communication; hierarchical genetic algorithm; mission requirements; optimization model; optimized design; responsive reconnaissance satellite constellation; Algorithm design and analysis; Artificial satellites; Collision avoidance; Cost function; Design optimization; Genetic algorithms; Land vehicles; Reconnaissance; Road vehicles; Satellite constellations; arithmetic operators; genetic algorithm; satellite constellation optimization;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486761