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True Pareto Fronts for Multi-Objective AI Planning Instances

Alexandre Quemy 1 Marc Schoenauer 1, 2
1 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 : Multi-objective AI planning suffers from a lack of bench-marks with known Pareto Fronts. A tunable benchmark generator is pro-posed, together with a specific solver that provably computes the true Pareto Front of the resulting instances. A wide range of Pareto Front shapes of various difficulty can be obtained by varying the parameters of the generator. The experimental performances of an actual implemen-tation of the exact solver are demonstrated, and some large instances with remarkable Pareto Front shapes are proposed, that will hopefully become standard benchmarks of the AI planning domain.
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Submitted on : Tuesday, January 27, 2015 - 2:33:26 AM
Last modification on : Tuesday, April 21, 2020 - 1:05:25 AM
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  • HAL Id : hal-01109777, version 1


Alexandre Quemy, Marc Schoenauer. True Pareto Fronts for Multi-Objective AI Planning Instances. European Conference on Combinatorial Optimization - EvoCOP, Apr 2015, Copenhague, Denmark. pp.197-208. ⟨hal-01109777⟩



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