Generating Domain-Specific Planners through Automatic Parameter Configuration in LPG
Mauro Vallati, Chris Fawcett, Alfonso Gerevini, Holger H. Hoos, Alessandro Saetti · University of Huddersfield Repository (University of Huddersfield) · 2011
The ParLPG planning system is based on the idea of using a generic algorithm configuration procedure – here, the well-known ParamILS framework – to optimise the performance of a highly parametric planner on a set of problem instances representative of a specific planning domain. This idea is applied to LPG, a versatile and efficient planner based on stochastic local-search with 62 parameters and over 6.5 × 10^17 possible configurations. A recent, large-scale empirical investigation showed that the approach behind ParLPG yields substantial performance improvements across a broad range of planning domains.