Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; Second International Roman Barták,Mic

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A Hybrid Algorithm for a Class of Resource Constrained Scheduling Problemspractice it is done by solving a linear program. Computational experiments have been carried out for the considered minimum completion time problems. The results show that the proposed algorithm could substantially reduce the solving time, compared with directly solving by mixed integer solvers.

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On the Minimal Steiner Tree Subproblem and Its Application in Branch-and-Pricealances the search tree and speeds up the search. An evaluation in a multicast design application shows that the algorithm enhances a column generation hybrid. Moreover, our approach offers a significant speedup factor on a publicly available set of challenging Steiner tree benchmarks.

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Set Variables and Local Searchriables and set constraints are put into a local-search framework, where concepts such as configurations, penalties, and neighbourhood functions are dealt with generically. This scheme is then used to define the penalty functions for five (global) set constraints, and to model and solve two well-known applications.

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Multiconsistency and Robustness with Global Constraintsriable-value pairs are .-multiconsistent with respect to several well known global constraints. In addition, we show that finding super solutions is strictly harder than finding arbitrary solutions and suggest multiconsistency as an alternative way to search for robust solutions.

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Conference proceedings 2005washeldinPrague,CzechRepublic,duringMay31–June1,2005. The conference is intended primarily as a forum to focus on the integration and hybridization of the approaches of constraint programming (CP), arti?cial intelligence (AI), and operations research (OR) technologies for solving large-scale and com