Divide-And-Evolve Facing State-of-the-art Temporal Planners during the 6th International Planning Competition

Jacques Bibai 1, 2 Marc Schoenauer 2 Pierre Savéant 1
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : Divide-And-Evolve (DAE) is the first evolutionary planner that has entered the biennial International Planning Competition (IPC). Though the overall results were disappointing, a detailed investigation demonstrates that in spite of a harsh time constraint imposed by the competition rules, DAE was able to obtain the best quality results in a number of instances. Moreover, those results can be further improved by removing the time constraint, and correcting a problem due to completely random individuals. Room for further improvements are also explored.
Type de document :
Communication dans un congrès
Ninth European Conference on Evolutionary Computation in Combinatorial Optimization (EVOCOP), Apr 2009, TÜBINGEN, Germany. Springer Verlag, 2009
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Jacques Bibai, Marc Schoenauer, Pierre Savéant. Divide-And-Evolve Facing State-of-the-art Temporal Planners during the 6th International Planning Competition. Ninth European Conference on Evolutionary Computation in Combinatorial Optimization (EVOCOP), Apr 2009, TÜBINGEN, Germany. Springer Verlag, 2009. 〈inria-00356069〉

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