| Reference Type | Journal (article/letter/editorial) |
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| Title | Fast genetic algorithm approaches to solving discrete-time mixed integer linear programming problems of capacity planning and scheduling of biopharmaceutical manufacture |
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| Journal | Computers & Chemical Engineering |
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| Authors | Jankauskas, Karolis | Author |
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| Papageorgiou, Lazaros G. | Author |
| Farid, Suzanne S. | Author |
| Year | 2019 (February) | Volume | 121 |
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| Publisher | Elsevier BV |
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| DOI | doi:10.1016/j.compchemeng.2018.09.019Search in ResearchGate |
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| Generate Citation Formats |
| Mindat Ref. ID | 6611036 | Long-form Identifier | mindat:1:5:6611036:1 |
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| GUID | 0 |
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| Full Reference | Jankauskas, Karolis, Papageorgiou, Lazaros G., Farid, Suzanne S. (2019) Fast genetic algorithm approaches to solving discrete-time mixed integer linear programming problems of capacity planning and scheduling of biopharmaceutical manufacture. Computers & Chemical Engineering, 121. 212-223 doi:10.1016/j.compchemeng.2018.09.019 |
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| Plain Text | Jankauskas, Karolis, Papageorgiou, Lazaros G., Farid, Suzanne S. (2019) Fast genetic algorithm approaches to solving discrete-time mixed integer linear programming problems of capacity planning and scheduling of biopharmaceutical manufacture. Computers & Chemical Engineering, 121. 212-223 doi:10.1016/j.compchemeng.2018.09.019 |
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| In | (n.d.) Computers & Chemical Engineering Vol. 121. Elsevier BV |
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