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MINIMIZING MEAN FLOW TIME FOR THE TWO-MACHINE SCHEDULING PROBLEM WITH A SINGLE SERVER

Abstract

The problem of scheduling jobs on two parallel machines to minimize the sum of completion times is considered. Each job requires a setup which is done by a single server. It is known that this problem is strongly NP-hard. Two mixed integer linear programming models and a simulated annealing algorithm are proposed. The performance of these algorithms is evaluated for instances with up to 250 jobs.

For citations:


Werner F., Kravchenko S.A., Hasani K. MINIMIZING MEAN FLOW TIME FOR THE TWO-MACHINE SCHEDULING PROBLEM WITH A SINGLE SERVER. Informatics. 2014;(1):15-24. (In Russ.)

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ISSN 1816-0301 (Print)
ISSN 2617-6963 (Online)