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Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 7th International Co Andrea Lodi,Mich

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A SAT Encoding for Multi-dimensional Packing Problems,ete. Fekete et al. modelled the problem in which the overlaps between the objects in each dimension are represented by interval graphs. In this paper we propose a SAT encoding of Fekete et al. characterization. Some results are presented, and the efficiency of this approach is compared with other SAT encodings.
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Characterization and Automation of Matching-Based Neighborhoods,This paper shows that that some matching based neighborhood can be automatically designed by searching for stable sets in a graph. This move generation algorithm is illustrated and investigated within the . framework.
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Consistency Check for the Bin Packing Constraint Revisited,The bin packing problem (BP) consists in finding the minimum number of bins necessary to pack a set of items so that the total size of the items in each bin does not exceed the bin capacity .. The bin capacity is common for all the bins.
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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem978-3-642-13520-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lazy Clause Generation: Combining the Power of SAT and CP (and MIP?) Solving,n and satisfaction problems. In this invited talk we explain lazy clause generation, and explore some of the many design choices in building such a hybrid system, we also discuss how to further incorporate mixed integer programming (MIP) solving to see if we can also inherit its advantages in combin
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