Mathematical Foundations of Computer Science 2011
Mathematical Foundations of Computer Science 2011
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计算机科学数学基础 2011
DOI:
10.1007/978-3-642-22993-0_23
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发表时间:
2011
期刊:
影响因子:
--
通讯作者:
Cohen D
中科院分区:
文献类型:
--
作者:
Cohen D
The complexity of any optimisation problem depends critically on the form of the objective function. Valued constraint satisfaction problems are discrete optimisation problems where the function to be minimised is given as a sum of cost functions defined on specified subsets of variables. These cost functions are chosen from some fixed set of available cost functions, known as a valued constraint language. We show in this paper that when the costs are non-negative rational numbers or infinite, then the complexity of a valued constraint problem is determined by certain algebraic properties of this valued constraint language, which we callweighted polymorphisms. We define a Galois connection between valued constraint languages and sets of weighted polymorphisms and show how the closed sets of this Galois connection can be characterised. These results provide a new approach in the search for tractable valued constraint languages.