Developing two multi-objective algorithms for solving multi-objective flexible job shop scheduling problem considering total consumed power per month
In this paper, to make flexible job shop scheduling problem (FJSP)more realistic, an operational factor is considered in its model. Thisfactor, which is called optimizing total consumed electric power permonth, is known as the most important factor in calculation of theelectric cost of the industrie...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2012-12-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_1905_245bcf83bfcfef8e11d6fa7ec52d39e7.pdf |
| Summary: | In this paper, to make flexible job shop scheduling problem (FJSP)more realistic, an operational factor is considered in its model. Thisfactor, which is called optimizing total consumed electric power permonth, is known as the most important factor in calculation of theelectric cost of the industries. Considering this factor, specificallyafter subsides elimination of the country, has became more important.In addition to this objective, two other common objectives, calledcomplementation time and critical work load of machines, areconsidered. To solve the multi-objective model, two algorithms,called multi-objective biogeography-based optimization algorithm(MOBBO) and multi-objective harmony search algorithm (MOHS),are developed and introduced to scheduling area for the first time.Finally, by developing some famous libraries of the problem,performance of the algorithms is compared statistically |
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| ISSN: | 2251-8029 2476-602X |