Solving Flow Shop Sequencing Problem for Deteriorating Jobs by Using Electro Magnetic Algorithm

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چکیده

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A Fuzzy Algorithm for the m-Machine, n-Job Flow Shop Sequencing Problem

Flow shop sequencing problem is included in NP-hard problems and a number of heuristic methods have been developed to solve it. Most of these methods are offered for the crisp processing time. However fuzzy algorithm is appropriate for the problems with fuzzy processing time. This paper presents a method in which an algorithm is used to minimize make span of flow shop with fuzzy processing time...

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A Fuzzy Algorithm for the m-Machine, n-Job Flow Shop Sequencing Problem

Flow shop sequencing problem is included in NP-hard problems and a number of heuristic methods have been developed to solve it. Most of these methods are offered for the crisp processing time. However fuzzy algorithm is appropriate for the problems with fuzzy processing time. This paper presents a method in which an algorithm is used to minimize make span of flow shop with fuzzy processing time...

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Makespan Minimization on Three-Machine Flow shop with deteriorating jobs

In this study, we consider a permutation flow shop scheduling problem on a three-machine with deteriorating jobs (a deteriorating job means that the job’s processing time is an increasing function of its starting time) so as to minimize the makespan. We model job deterioration as a function that is proportional to a linear function of time. For some special cases, we prove that the problem can ...

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Parallel Scatter Search Algorithm for the Flow Shop Sequencing Problem

In the paper we consider strongly NP-hard flow shop problem with the criterion of minimization of the sum of job’s finishing times. We present the parallel algorithm based on the scatter search method. Obtained results are compared to the best known from the literature. Superlinear speedup has been observed in the parallel calculations.

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ژورنال

عنوان ژورنال: Journal of Applied Sciences

سال: 2008

ISSN: 1812-5654

DOI: 10.3923/jas.2008.4121.4128