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2010 Volume 25
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RESEARCH ARTICLE   Open Access    

How to model planning and scheduling problems using constraint networks on timelines

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RESEARCH ARTICLE   Open Access    

How to model planning and scheduling problems using constraint networks on timelines

The Knowledge Engineering Review  25 Article number: 10.1017/S0269888910000172  (2010)  |  Cite this article

Abstract: Abstract: The CNT framework (Constraint Network on Timelines) has been designed to model discrete event dynamic systems and the properties one knows, one wants to verify, or one wants to enforce on them. In this article, after a reminder about the CNT framework, we show its modeling power and its ability to support various modeling styles, coming from the planning, scheduling, and constraint programming communities. We do that by producing and comparing various models of two mission management problems in the aerospace domain: management of a team of unmanned air vehicles and of an Earth observing satellite.

    • [a..b] denotes the set of integers greater than or equal to integer a and less than or equal to integer b.

    • In general, ST is not included in the set of time references associated with the timelines in SX.

    • If A is an assignment and v a variable assigned by A, A[v] denotes the projection of A on v. By extension, if A is an assignment and V a set of variables assigned by A, A[V] denotes the projection of A on V.

    • As is usual in CP tools, a constraint c is considered equivalent to a boolean variable b equal to 1 if c is satisfied and 0 otherwise (constraint reification).

    • Copyright © Cambridge University Press 20102010Cambridge University Press
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    Gérard Verfaillie, Cédric Pralet, Michel Lemaître. 2010. How to model planning and scheduling problems using constraint networks on timelines. The Knowledge Engineering Review. 25:172 doi: 10.1017/S0269888910000172
    Gérard Verfaillie, Cédric Pralet, Michel Lemaître. 2010. How to model planning and scheduling problems using constraint networks on timelines. The Knowledge Engineering Review. 25:172 doi: 10.1017/S0269888910000172
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