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- W2289642008 abstract "The paper presents the Mixed-Integer Non-linear Programming optimization approach (MINLP) to structural synthesis. The MINLP is a combined discrete/continuous optimization technique, where discrete binary 0-1 variables are defined for optimization of discrete alternatives and continuous variables for optimization of parameters. The MINLP optimization to structural synthesis is performed through three steps: i.e. the generation of a mechanical superstructure, the modelling of an MXNLP model formulation and the solution of the defined MINLP problem. As the discrete/continuous optimization problems are usually non-convex and highly non-linear, the Modified OuterApproxirnatiordEquality-Relaxation (ONER) algorithm is selected to be used for the optimization. The accompanied Linked Multilevel Hierarchical Strategy (LMHS) is developed to accelerate the convergence of the mentioned algorithm. Some examples are presented at the end of the paper." @default.
- W2289642008 created "2016-06-24" @default.
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- W2289642008 date "2003-05-06" @default.
- W2289642008 modified "2023-09-26" @default.
- W2289642008 title "MINLP Optimization Approach" @default.
- W2289642008 doi "https://doi.org/10.2495/op030021" @default.
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