Titlebook: Integration of AI and OR Techniques in Constraint Programming; 13th International C Claude-Guy Quimper Conference proceedings 2016 Springer

infantile

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468814.jpg

Conducive

Conference proceedings 2016rovides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems..

Dappled

0302-9743 cations in combinatorial optimization and provides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems..978-3-319-33953-5978-3-319-33954-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

惡心

Scheduling Home Hospice Care with Logic-Based Benders Decomposition,r hospice care provider. We find that LBBD is superior to state-of-the-art MIP and solves problems of realistic size, if the aim is to conduct staff planning on a rolling basis while maintaining continuity of the care arrangement for patients currently receiving service.

NEX

0302-9743 telligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2016, held in Banff, Canada, in May/June 2016...The 21 full papers presented together with 8 short papers were carefully reviewed and selected from 51 submissions. The conference b

變形

Conference proceedings 2016es in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2016, held in Banff, Canada, in May/June 2016...The 21 full papers presented together with 8 short papers were carefully reviewed and selected from 51 submissions. The conference brings together interested researchers from

Lamina

Logic-Based Decomposition Methods for the Travelling Purchaser Problem,finding optimal solutions to previously unsolved instances, while performing competitively on a number of symmetric problem classes. Furthermore, our model is implemented unchanged for the four problem variants whereas other state-of-the-art approaches are variant-specific.

暗語(yǔ)

Non-linear Optimization of Business Models in the Electricity Market,d population information. The main advantage of the model is that it provides a tool for sensitivity analysis, namely for understanding the impact of economical and behavioral parameters on the consumption profiles.

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Parallelizing Constraint Programming with Learning,t is not clear which approach to parallelization is likely to be most effective. We give examples of very different kinds of optimization problems we wish to parallelize and show that a hybrid approach to parallelization can provide a robust and high performing parallel LCG solver.