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This paper focuses on heuristic cost-based planning. We propose a combination of a heuristic designed to deal with this planning model together with the usage of look-ahead states based on relaxed plans to speed-up the search. The search algorithm is a modified Best-First Search (BFS) performing Branch and Bound (B&B) to improve the last solution found. The objective of the work is to obtain a...
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...
We consider the fuzzy job shop problem, where uncertain durations are modelled as fuzzy numbers and the objective is to minimise the expected makespan. A recent local search method from the literature has proved to be very competitive when used in combination with a genetic algorithm, but at the expense of a high computational cost. Our aim is to improve its efficiency with an alternative rescheduling...
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