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- W233670567 abstract "In this paper we describe a method for obtaining sets of transformations for reformulating a mixed integer nonlinear programming (MINLP) problem containing nonconvex twice-differentiable (C2) functions to a convex MINLP problem in an extended variable space. The method for obtaining the transformations is based on solving a mixed integer linear programming (MILP) problem given the structure of the nonconvex MINLP problem. The solution of the MILP problem renders a minimal set of transformations convexifying the nonconvex problem. This technique is implemented as an part of the a signomial global optimization algorithm (αSGO), a global optimization algorithm for nonconvex MINLP problems." @default.
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- W233670567 date "2012-01-01" @default.
- W233670567 modified "2023-09-25" @default.
- W233670567 title "Finding an optimized set of transformations for convexifying nonconvex MINLP problems" @default.
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- W233670567 doi "https://doi.org/10.1016/b978-0-444-59506-5.50130-9" @default.
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