By Christos T. Maravelias, Ignacio E. Grossmann (auth.), Jean-Charles Régin, Michel Rueher (eds.)
ISBN-10: 354021836X
ISBN-13: 9783540218364
ISBN-10: 3540246649
ISBN-13: 9783540246640
This e-book constitutes the refereed court cases of the 1st foreign convention on Integration of AI and OR options in Constraint Programming for Combinatorial Optimization difficulties, CPAIOR 2004, held in great, France in April 2004.
The 23 revised complete papers and seven revised brief papers awarded including an invited speak have been conscientiously reviewed and chosen from fifty six submissions. Methodological and foundational concerns from AI, OR, and algorithmics are provided in addition to purposes to the answer of combinatorial optimization difficulties in a number of fields through constraint programming.
Read Online or Download Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems: First International Conference, CPAIOR 2004, Nice, France, April 20-22, 2004. Proceedings PDF
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This e-book constitutes the refereed complaints of the 1st foreign convention on Integration of AI and OR innovations in Constraint Programming for Combinatorial Optimization difficulties, CPAIOR 2004, held in great, France in April 2004. The 23 revised complete papers and seven revised brief papers awarded including an invited speak have been conscientiously reviewed and chosen from fifty six submissions.
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Example text
It compares favorably over the best available approaches from the literature on a set of benchmark instances. 1 Introduction In this work, we consider the Job Shop Problem with Sequence Dependent Setup Times (SDST-JSP). The Job Shop Problem is used for modeling problems where a set of jobs, consisting of a sequence of elementary operations to be executed on distinct machines, has to be scheduled. , Blazewicz et al. [5], Nowicki and Smutnicki [13] or Vaessens et al. [15]). The SDST-JSP is a variant problem where machines have to be reconfigured between two successive operations.
35] M. Wallace, S. Novello, and J. Schimpf. A platform for constraint logic programming. ICL Systems Journal, 12:159–200, 1997. [36] H. P. Williams and H. Yan. Representations of the all_different predicate of constraint satisfaction in integer programming. INFORMS Journal on Computing, 13(2):96–103, 2001. [37] H. Yan and J. N. Hooker. Tight representations of logical constraints as cardinality rules. Mathematical Programming, 85:363–377, 1999. [38] T. H. Yunes. On the sum constraint: Relaxation and applications.
An example of such diagrams is given in figure 1 for some instance of the SDST-JSP with 3 jobs and 3 machines. On these diagrams, we represent setup times with hatched rectangles. Full rectangles stand for idle times. The two diagrams respectively represent a solution from both machine and job views. A New Exact Solution Algorithm for the Job Shop Problem 39 Fig. 1. Gantt’s diagrams Using the constraint programming framework, a simple model can easily be proposed for the SDST-JSP. For each operation we introduce a variable indicating the starting time of the operation.
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems: First International Conference, CPAIOR 2004, Nice, France, April 20-22, 2004. Proceedings by Christos T. Maravelias, Ignacio E. Grossmann (auth.), Jean-Charles Régin, Michel Rueher (eds.)
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