In the constraint programming community, solver cooperation is now an established paradigm that aims at using several solvers to improve some kind of limitations or inefficiency imposed by the use of a unique solver; solver cooperation applications range over several fields such as heterogeneous domain solving, heterogeneous constraint forms over the same domain, or distributed problem solving. Meanwhile, search-languages have emphasised the need to clearly separate the different steps during a constraint problem resolution. In a similar direction, this paper presents a paradigm that enables the user to properly separate computation strategies from the search phases in solver cooperations. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Pajot, B., & Monfroy, E. (2003). Separating search and strategy in solver cooperations. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2890, 401–414. https://doi.org/10.1007/978-3-540-39866-0_40
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