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Extending Super-solutions

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3258))

Abstract

Super solutions, introduced first for SAT problems in [1], are solutions in which, if a small number of variables lose their values, we are guaranteed to be able to repair the solution with only a few changes. In this paper, we stress the need to extend the super-solution framework along several dimensions to make it more useful practically.

For instance, consider the jobshop scheduling problem (jsp). A jsp involves a set of jobs (sequences of activities) and a set of machines. The objective is to schedule the jobs such that no machine is required by two activities that overlap, and the makespan is minimized. A jsp can be formulated as a CSP, with one variable for each activity, and a domain size equal to the makespan minus its duration. To find the minimal makespan, one starts with the makespan equal to a lower bound and increase it till a solution exists.

The author is supported by Science Foundation Ireland and an ILOG grant.

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References

  1. Ginsberg, M., Parkes, A., Roy, A.: Supermodels and robustness. In: Proceedings AAAI 1998, Madison WI, pp. 334–339 (1998)

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  2. Vidal, T., Fargier, H.: Contingent durations in temporal csps: from consistency to controllabilities. In: TIME 1997, Daytona Beach, USA (1997)

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© 2004 Springer-Verlag Berlin Heidelberg

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Hebrard, E. (2004). Extending Super-solutions. In: Wallace, M. (eds) Principles and Practice of Constraint Programming – CP 2004. CP 2004. Lecture Notes in Computer Science, vol 3258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30201-8_77

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  • DOI: https://doi.org/10.1007/978-3-540-30201-8_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23241-4

  • Online ISBN: 978-3-540-30201-8

  • eBook Packages: Springer Book Archive

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