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An ant system algorithm for automated trajectory planning

Ceriotti, M. and Vasile, M. (2010) An ant system algorithm for automated trajectory planning. In: World Congress on Computational Intelligence, WCCI 2010, 2010-07-18 - 2010-07-23, Barcelona, Spain.

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Abstract

The paper presents an Ant System based algorithm to optimally plan multi-gravity assist trajectories. The algorithm is designed to solve planning problems in which there is a strong dependency of one decision one all the previously made decisions. In the case of multi-gravity assist trajectories planning, the number of possible paths grows exponentially with the number of planetary encounters. The proposed algorithm avoids scanning all the possible paths and provides good results at a low computational cost. The algorithm builds the solution incrementally, according to Ant System paradigms. Unlike standard ACO, at every planetary encounter, each ant makes a decision based on the information stored in a tabu and feasible list. The approach demonstrated to be competitive, on a number of instances of a real trajectory design problem, against known GA and PSO algorithms.

Item type: Conference or Workshop Item (Paper)
ID code: 26350
Keywords: multi gravity assist trajectories, ant system algorithm, automated trajectory planning, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics
Subjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Depositing user: Ms Katrina May
Date Deposited: 21 Jul 2010 08:56
Last modified: 26 Mar 2015 22:56
URI: http://strathprints.strath.ac.uk/id/eprint/26350

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