Alfredo Milani

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The most efficient planning algorithms recently developed are mainly based on Graphplan system or on sat-isfiability approach. In this paper we present a new approach to plan generation based on planning graph analysis, which can be considered as a bridge between the two planning approaches. The method exploits the propagation of planning axioms and(More)
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard computational problem. Stochastic methods do not guarantee either optimality or completeness , but it has been proved that in many applications they are able to find very good, often(More)