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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Tabu Search Algorithm to Minimize Lateness in Scheduling Problems with Setup Times
verfasst von : Miguel A. González, Camino R. Vela, Ramiro Varela
Erschienen in: Current Topics in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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We face the Job Shop Scheduling Problem with Sequence Dependent Setup Times and maximum lateness minimization as objective function. We propose a disjunctive graph representation for this problem that allows to define the concept of critical path properly. From this representation, we have defined a neighborhood structure suitable to cope with lateness minimization. This neighborhood structure is exploited in combination with a Tabu Search algorithm. We report results from an experimental study across conventional benchmark instances showing that this approach outperforms some of the current state-of-the-art methods.