logmip: a disjunctive 0–1 non-linear optimizer for process system models
Discrete-continuous non-linear optimization models are frequently used to formulate problems in process system engineering. Major modeling alternatives and solution algorithms include generalized disjunctive programming and mixed integer non-linear programming (MINLP). Both have advantages and drawb...
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| Vydáno v: | Computers & chemical engineering Ročník 23; číslo 4; s. 555 - 565 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.05.1999
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| ISSN: | 0098-1354, 1873-4375 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Discrete-continuous non-linear optimization models are frequently used to formulate problems in process system engineering. Major modeling alternatives and solution algorithms include generalized disjunctive programming and mixed integer non-linear programming (MINLP). Both have advantages and drawbacks depending on the problem they are dealing with. In this work, we describe the theory behind
logmip, a new computer code for disjunctive programming and MINLP. We discuss a hybrid modeling framework that combines both approaches, allowing binary variables and disjunctions for expressing discrete choices. An extension of the logic-based outer approximation (OA) algorithm has been implemented to solve the proposed hybrid model. Computational experience is reported on several examples, which are solved using disjunctive, MINLP and hybrid formulations. |
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| ISSN: | 0098-1354 1873-4375 |
| DOI: | 10.1016/S0098-1354(98)00293-2 |