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      XCSP3: An Integrated Format for Benchmarking Combinatorial Constrained Problems

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          Abstract

          We propose a major revision of the format XCSP 2.1, called XCSP3, to build integrated representations of combinatorial constrained problems. This new format is able to deal with mono/multi optimization, many types of variables, cost functions, reification, views, annotations, variable quantification, distributed, probabilistic and qualitative reasoning. The new format is made compact, highly readable, and rather easy to parse. Interestingly, it captures the structure of the problem models, through the possibilities of declaring arrays of variables, and identifying syntactic and semantic groups of constraints. The number of constraints is kept under control by introducing a limited set of basic constraint forms, and producing almost automatically some of their variations through lifting, restriction, sliding, logical combination and relaxation mechanisms. As a result, XCSP3 encompasses practically all constraints that can be found in major constraint solvers developed by the CP community. A website, which is developed conjointly with the format, contains many models and series of instances. The user can make sophisticated queries for selecting instances from very precise criteria. The objective of XCSP3 is to ease the effort required to test and compare different algorithms by providing a common test-bed of combinatorial constrained instances.

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                Author and article information

                Journal
                2016-11-10
                Article
                1611.03398
                5e5562b4-22db-4555-88b0-a499d740b4fb

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                230 pages
                cs.AI

                Artificial intelligence
                Artificial intelligence

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