Abstract
This paper addresses the solution of practical resource-constrained project scheduling problems (RCPSP). We point out that such problems often contain many, in a sense similar projects, and this characteristic can be exploited well to improve the performance of current constraint-based solvers on these problems. For that purpose, we define the straightforward but generic notion of progressive solution, in which the order of corresponding tasks of similar projects is deduced a priori. We prove that the search space can be reduced to progressive solutions. Computational experiments on two different sets of industrial problem instances are also presented.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kovács, A., Váncza, J. (2006). Progressive Solutions: A Simple but Efficient Dominance Rule for Practical RCPSP. In: Beck, J.C., Smith, B.M. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2006. Lecture Notes in Computer Science, vol 3990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11757375_13
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DOI: https://doi.org/10.1007/11757375_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34306-6
Online ISBN: 978-3-540-34307-3
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