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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Autonomous Search: Towards the Easy Tuning of Constraint Programming Solvers
verfasst von : Broderick Crawford, Ricardo Soto, Rodrigo Olivares, Rodrigo Herrera, Eric Monfroy, Fernando Paredes
Erschienen in: HCI International 2014 - Posters’ Extended Abstracts
Verlag: Springer International Publishing
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Constraint programming (CP) allows users to solve combinatorial problems by simply launching the corresponding model in a search engine. However, achieving good results may clearly depend on the correct search engine configuration, which demands advanced knowledge from the modeler. Recently, Autonomous Search (AS) appeared as a new technique that enables a given search engine to control and adapt its own configuration based on self-tuning. The goal is to be more efficient without the knowledge of an expert user. In this paper, we illustrate how the integration of AS into CP is carried out, reducing as a consequence the user involvement in solver tuning.