Bi-criteria improved genetic algorithm for scheduling in flowshops to minimise makespan and total fl...
Bi-criteria improved genetic algorithm for scheduling in flowshops to minimise makespan and total flowtime of jobs
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Author / Creator
Publisher
Taylor & Francis
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Language
English
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Taylor & Francis
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Bi-criteria improved genetic algorithm (IGA) for flowshop scheduling problem is proposed in this paper. The primary concern of flowshop scheduling problem considered in this work is to obtain the best sequence, which minimises the makespan and total flow time of all jobs. The initial population of the genetic algorithm is created using popular NEH...
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Bi-criteria improved genetic algorithm for scheduling in flowshops to minimise makespan and total flowtime of jobs
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TN_cdi_informaworld_taylorfrancis_310_1080_09511920902993353
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_informaworld_taylorfrancis_310_1080_09511920902993353
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ISSN
0951-192X
E-ISSN
1362-3052
DOI
10.1080/09511920902993353
