Heuristic based genetic algorithms for the re-entrant total completion time flowshop scheduling with learning consideration

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Heuristic based genetic algorithms for the re-entrant total completion time flowshop scheduling with learning consideration

Recently, both the learning effect scheduling and re-entrant scheduling have received more attention separately in research community. However, the learning effect concept has not been introduced into re-entrant scheduling in the environment setting. To fill this research gap, we investigate re-entrant permutation flowshop scheduling with a position-based learning effect to minimize the total c...

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Solving Re-entrant No-wait Flexible Flowshop Scheduling Problem; Using the Bottleneck-based Heuristic and Genetic Algorithm

In this paper, we study the re-entrant no-wait flexible flowshop scheduling problem with makespan minimization objective and then consider two parallel machines for each stage. The main characteristic of a re-entrant environment is that at least one job is likely to visit certain stages more than once during the process. The no-wait property describes a situation in which every job has its own ...

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A Hybrid Genetic Algorithm for the Open Shop Scheduling with Makespan and Total Completion Time

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

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A Hybrid Genetic Algorithm for the Open Shop Scheduling with Makespan and Total Completion Time

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

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a hybrid genetic algorithm for the open shop scheduling with makespan and total completion time

proper scheduling of tasks leads to optimum using of time and resources, inorder to obtaining best result. one of the most important and complicatedscheduling problems is open shop scheduling problem. there are n jobs in openshop scheduling problem which should be processed by m machines. purpose ofscheduling open shop problem is attaining to a suitable order of processing jobs byspecified mach...

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ژورنال

عنوان ژورنال: International Journal of Computational Intelligence Systems

سال: 2016

ISSN: 1875-6891,1875-6883

DOI: 10.1080/18756891.2016.1256572