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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling

An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning

February 1, 2023

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Authors

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal

Thales Research and Technology,Thales Research and Technology,INRIA,ONERA


DOI:

10.1609/icaps.v20i1.13399


Abstract:

DAEX is a metaheuristic designed to improve the plan quality and the scalability of an encapsulated planning system. DAEX is based on a state decomposition strategy, driven by an evolutionary algorithm, which benefits from the use of a classical planning heuristic to maintain an ordering of atoms within the individuals. The proof of concept is achieved by embedding the domain-independent satisficing YAHSP planner and using the critical path h1 heuristic. Experiments with the resulting algorithm are performed on a selection of IPC benchmarks from classical, cost-based and temporal domains. Under the experimental conditions of the IPC, and in particular with a universal parameter setting common to all domains, DAEYAHSP is compared to the best planner for each type of domain. Results show that DAEYAHSP performs very well both on coverage and quality metrics. It is particularly noticeable that DAEX improves a lot on plan quality when compared to YAHSP, which is known to provide largely suboptimal solutions; making it competitive with state-of-the-art planners. This article gives a full account of the algorithm, reports on the experiments and provides some insights on the algorithm behavior.

Topics: ICAPS

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HOW TO CITE:

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning Proceedings of the International Conference on Automated Planning and Scheduling (2010) 18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning ICAPS 2010, 18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal (2010). An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning. Proceedings of the International Conference on Automated Planning and Scheduling, 18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal. An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning. Proceedings of the International Conference on Automated Planning and Scheduling 2010 p.18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal. 2010. An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning. "Proceedings of the International Conference on Automated Planning and Scheduling". 18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal. (2010) "An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning", Proceedings of the International Conference on Automated Planning and Scheduling, p.18-25

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal, "An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning", ICAPS, p.18-25, 2010.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal. "An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning". Proceedings of the International Conference on Automated Planning and Scheduling, 2010, p.18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal. "An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning". Proceedings of the International Conference on Automated Planning and Scheduling, (2010): 18-25.

Jacques Bibaï,Pierre Savéant,Marc Schoenauer,Vincent Vidal. An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning. ICAPS[Internet]. 2010[cited 2023]; 18-25.


ISSN: 2334-0843


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