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- W2104840146 abstract "The recent advances in mathematical programming approaches applied to process design and operation problems have produced a need for the ability to find the global optimum of a nonconvex problem containing discrete variables (a nonconvex MINLP). This paper presents a modified version of the reformulation/spatial branch-and-bound algorithm of Smith and Pantelides (1996) for the solution of such problems. The algorithm is implemented within the gPROMS modelling environment (Barton and Pantelides, 1994) and tested on several MINLP problems arising from process engineering applications." @default.
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- W2104840146 date "1997-05-01" @default.
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- W2104840146 title "Global optimisation of nonconvex MINLPs" @default.
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- W2104840146 doi "https://doi.org/10.1016/s0098-1354(97)87599-0" @default.
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