PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Divide-And-Evolve Facing State-of-the-art Temporal Planners during the 6th International Planning Competition
Jacques Bibaï, Marc Schoenauer and Pierre Savéant
In: 9th European Conf. on Evolutionary Computation in Combinatorial Optimization (EvoCOP'09) LNCS (5482). (2009) Springer Verlag , pp. 133-144. ISBN 978-3-642-01008-8

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.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:6906
Deposited By:Marc Schoenauer
Deposited On:13 April 2010