Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem
Active schedules and a new genetic algorithm for solving job shop scheduling problein are presented in this paper. In the proposed method, a chromosome representation of the problem is natural numbers, the GT algorithm is used to generate a set of active solutions, the mutation is implemented on th...
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oai:112.137.131.14:VNU_123-566572018-08-27T02:48:02Z Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem Nguyen, Huu Mui Vu, Dinh Hoa Jobshop Scheduling Schedule Genetic Algorittrm Active schedules and a new genetic algorithm for solving job shop scheduling problein are presented in this paper. In the proposed method, a chromosome representation of the problem is natural numbers, the GT algorithm is used to generate a set of active solutions, the mutation is implemented on the all machines concurrently. Especially, we propose a new crossover operator that combines the unifurm crossover operator with GT algoithm and is implemented on 3 parents. The approach was tested on a set of benchmark programs and compared with other approaches.The computation results validated the effectiveness of the proposed algorithm. 2017-08-14T02:18:05Z 2017-08-14T02:18:05Z 2010 Article Nguyen, H. M., Vu, D. H. (2010). Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem. VNU Journal of Science, Mathematics – Physics Vol. 26, No. 4, 213-221 2588-1124 http://repository.vnu.edu.vn/handle/VNU_123/56657 en VNU Journal of Science, Mathematics – Physics application/pdf H. : ĐHQGHN |
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Jobshop Scheduling Schedule Genetic Algorittrm |
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Jobshop Scheduling Schedule Genetic Algorittrm Nguyen, Huu Mui Vu, Dinh Hoa Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
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Active schedules and a new genetic algorithm for solving job shop scheduling problein are presented in this paper. In the proposed method, a chromosome representation of the problem is natural numbers, the GT algorithm is used to generate a set of active solutions, the mutation is
implemented on the all machines concurrently. Especially, we propose a new crossover operator that combines the unifurm crossover operator with GT algoithm and is implemented on 3 parents.
The approach was tested on a set of benchmark programs and compared with other approaches.The computation results validated the effectiveness of the proposed algorithm. |
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Article |
author |
Nguyen, Huu Mui Vu, Dinh Hoa |
author_facet |
Nguyen, Huu Mui Vu, Dinh Hoa |
author_sort |
Nguyen, Huu Mui |
title |
Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
title_short |
Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
title_full |
Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
title_fullStr |
Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
title_full_unstemmed |
Active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
title_sort |
active schedules and a new hybrid genetic algorithm for the job shop scheduling problem |
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H. : ĐHQGHN |
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2017 |
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http://repository.vnu.edu.vn/handle/VNU_123/56657 |
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1680965653253586944 |