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• W2440351657 abstract "The idea of a unifying framework for optimization has been around for about a decade, but very few attempts have been made at providing a description of the major components and their interaction in such a framework. A notable exception is the recent book by HOOKER[50], which builds on the earlier work of CHANDRU AND HOOKER[28], HOOKER[48] and ARON, HOOKER AND YUNES[6] to provide a consistent view of optimization techniques as they are used in mathematical and constraint logic programming. The framework we describe here has evolved from a joint work with HOOKER AND YUNES[6], and it provides the basic blocks for a modeling language of metaconstraints, as well as the mechanisms that a generic metasolver needs in order to solve a problem according to the specification given by the metaconstraints. The thesis on which this framework is based is that problem solving is a combination of two fundamental steps, search and inference, whose efficient utilization requires modeling and logical deduction across theory lines. Such deduction is made possible by equipping metaconstraints with reformulation rules for multiple theories and using these rules throughout the search to draw inference from each of those theories." @default.
• W2440351657 created "2016-06-24" @default.
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• W2440351657 date "2007-01-01" @default.
• W2440351657 modified "2023-09-23" @default.
• W2440351657 title "A unifying framework for modeling and solving optimization problems" @default.
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