| 期刊全稱 | Analysis and Visualization Tools for Constraint Programming | | 期刊簡稱 | Constraint Debugging | | 影響因子2023 | Pierre Deransart,Manuel V. Hermenegildo,Jan Ma?usz | | 視頻video | http://file.papertrans.cn/157/156289/156289.mp4 | | 發(fā)行地址 | Includes supplementary material: | | 學(xué)科分類 | Lecture Notes in Computer Science | | 圖書封面 |  | | 影響因子 | Coordinating production across a supply chain, designing a new VLSI chip, allocating classrooms or scheduling maintenance crews at an airport are just a few examples of complex (combinatorial) problems that can be modeled as a set of decision variables whose values are subject to a set of constraints. The decision variables may be the time when production of a particular lot will start or the plane that a maintenance crew will be working on at a given time. Constraints may range from the number of students you can ?t in a given classroom to the time it takes to transfer a lot from one plant to another.Despiteadvancesincomputingpower,manyformsoftheseandother combinatorial problems have continued to defy conventional programming approaches. Constraint Logic Programming (CLP) ?rst emerged in the mid-eighties as a programming technique with the potential of signi?cantly reducing the time it takes to develop practical solutions to many of these problems, by combining the expressiveness of languages such as Prolog with the compu- tional power of constrained search. While the roots of CLP can be traced to Monash University in Australia, it is without any doubt in Europe that this new soft | | Pindex | Book 2000 |
The information of publication is updating
|
|