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Multi-objective optimization for selecting and scheduling observations
P.TANGPATTANAKUL, N.JOZEFOWIEZ, P.LOPEZ
MOGISA
Manifestation avec acte : International Conference on Parallel Problem Solving From Nature (PPSN 2012), Taormina (Italie), 1-5 Septembre 2012, 10p. , N° 12340
Lien : http://hal.archives-ouvertes.fr/hal-00711545
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Abstract
This paper presents a biased random-key genetic algorithm for solving a multi-objective optimization problem concerning the management of agile Earth observing satellites. It addresses the selection and scheduling of a subset of photographs from a set of candidates in order to optimize two objectives: maximizing the total profit, and ensuring fairness among users by minimizing the maximum profit difference between users. Two methods, one based on dominance, the other based on indicator, are compared to select the preferred solutions. The methods are evaluated on realistic instances derived from the 2003 ROADEF challenge.
Optimisation multi-objectif des prises de vues d'un satellite agile d'observation de la terre
P.TANGPATTANAKUL, N.JOZEFOWIEZ, P.LOPEZ
MOGISA
Manifestation sans acte : Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2012), Angers (France), 11-13 Avril 2012, 2p. , N° 12174
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