By Alain Colmerauer (auth.), Peter J. Stuckey (eds.)
This ebook constitutes the refereed lawsuits of the 14th overseas convention on rules and perform of Constraint Programming, CP 2008, Sydney, Australia, September, 2008.
The 27 revised complete papers and 23 revised brief papers awarded including 6 program papers and the abstracts of 1 invited lecture have been conscientiously reviewed and chosen from a hundred and twenty submissions. All present problems with computing with constraints are addressed, starting from methodological and foundational features - utilizing algorithms, environments, languages, versions and platforms - to fixing real-world difficulties in quite a few program fields.
Read Online or Download Principles and Practice of Constraint Programming: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings PDF
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Extra resources for Principles and Practice of Constraint Programming: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings
1 Decomposition Based Approach The problem at hand can be solved using a Logic Based Benders decomposition approach similarly to , , , , , , and , where the allocation is modelled and solved in the master problem (usually using Integer Programming) while the scheduling problem is tackled as a subproblem (possibly via Constraint Programming). This approach does not scale well and in  we have shown that the reason is the poor balancing between the allocation and the scheduling components, as the first is much more complicated.
The network has a complex topology, with around 30 interconnecting pipelines, over 30 diﬀerent products in circulation, and about 14 distribution depots which harbor more than 200 tanks, with a combined capacity for storing up to 65 million barrels. The problem is how to schedule individual pumping operations, given the daily production and demand of each product, at each location in the network, over a given time horizon. We describe a solution based on a two-phase problem decomposition strategy.
4) A route is an alternating sequence of depots and non-repeating connecting ducts. For example, the sequence (B0 , D1 , B2 , D3 , B3 ) represents a valid route in ﬁgure 2. Each product in circulation must have a route assigned to it, and a volume can only leave its route at the ﬁnal destination tank. Although there is no restriction barring the creation of new routes, the most common choices obtained from human experience should be preferred. (5) Least maximum ﬂow rates among all products in any route must be enforced.
Principles and Practice of Constraint Programming: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings by Alain Colmerauer (auth.), Peter J. Stuckey (eds.)