In this paper a method to select a set of preliminary space system configurations is proposed, based on a two-player multi-objective optimization. During the concept definition of a space system a key point stays in reducing the number of possible alternative paths to fasten the next feasibility study. The problem is here modelled as a multiobjective global optimization and managed by using The Evolutionary Programming techniques. The main issues related to the classical Evolutionary approach and the particular mixed search domain are overcome by means of the Game Theory combined with Possibilistic and Fuzzy theory. The simulation results, applied to the ESA Mars Express Mission scenario are offered.

Game Theory and Co-Evolutive Algorithms for Space Missions Preliminary Design

LAVAGNA, MICHÈLE;MAFFICINI, ANDREA
2005-01-01

Abstract

In this paper a method to select a set of preliminary space system configurations is proposed, based on a two-player multi-objective optimization. During the concept definition of a space system a key point stays in reducing the number of possible alternative paths to fasten the next feasibility study. The problem is here modelled as a multiobjective global optimization and managed by using The Evolutionary Programming techniques. The main issues related to the classical Evolutionary approach and the particular mixed search domain are overcome by means of the Game Theory combined with Possibilistic and Fuzzy theory. The simulation results, applied to the ESA Mars Express Mission scenario are offered.
2005
Proceedings of the i-SAIRAS 2005 - 8th International Symposium on Artificial intelligence, Robotics and Automation in Space (ESA SP-603)
9290929146
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/259016
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