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- W1033407579 abstract "AbstractThis paper deals with scheduling of tasks in cyclic flexible job shop scheduling problem (CFJSSP). We have proposed a new method of computing cyclic time for CFJSSP. This method is based on the known properties of the job shop problem as well as new properties of cyclic scheduling. We have developed two versions of proposed method: sequential and parallel. The parallel version is dedicated to the computing devices supporting vector processing. Finally, we have developed double paralyzed simulated annealing algorithms: fine grained - vector processing, multiple walk - multi core processing. Computation results, provided on market multicore processors, are presented for a set of benchmark instances from the literature.KeywordsSchedule ProblemCycle TimeCompletion TimeFlow ShopSimulated Annealing AlgorithmThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1033407579 date "2015-01-01" @default.
- W1033407579 modified "2023-09-26" @default.
- W1033407579 title "Parallel Simulated Annealing Algorithm for Cyclic Flexible Job Shop Scheduling Problem" @default.
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- W1033407579 doi "https://doi.org/10.1007/978-3-319-19369-4_53" @default.
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