期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICIET
页码：1298
出版社：S&S Publications
摘要：For a given set of celestial bodies, theproblem of finding an optimal sequence of gravity assistand the transfer arcs connecting the elements of the set isof combinatorial in nature. The number of possible pathsgrows exponentially with the number of celestial bodies.Therefore the design of an optimal gravity assisttrajectory is a NP-hard mixed combinatorial continuousproblem. An exhaustive search of the space of inputvariable is unaffordable even with modern state of artcomputing technology. Thus a feasible approach requiresartificial intelligence (AI) and modern optimizationtechniques based on the intelligence selection of somepotential solutions. These individuals evolve in order togenerate better solution until some optimization criterionis met.Here the goal of this work is to find thetrajectory which uses gravity assist maneuvers to reachthe target planet (Jupiter), spending minimal fuel withminimal time for the travel. In this work, the model hasbeen formulated, as a preliminary mission design for aninterplanetary trajectory from earth to Jupiter via gravityassist at mars, which proposed to use genetic algorithmwith multi objective to optimize the trajectory which hasminimal fuel consumption and minimal time.
