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An industrial application of mathematical programming is presented.
First, fuzzy mathematical programming is introduced for uncertain modeling.
A search strategy based on mathematical programming is developed to minimize the upper bound for Pf.
For this approach, an approximate solution method exploited in mathematical programming is quite beneficial.
Mathematical programming is an art that provides precise techniques for solving a class of problems.
In this work an analysis based on the force method and mathematical programming is presented.
Similar(29)
Generally speaking, heuristics/knowledge based, steady-state simulation based and mathematical programming are three main approaches.
In order to obtain the optimal design sensitivities analysis and optimization techniques based in the nonlinear mathematical programming are used.
The method is a semi-exact solution, in which a collocation method and mathematical programming are used to create the bilateral inequality.
To achieve the shape optimization, different principles such as structural analysis, automatic mesh generation, sensitivity analysis and mathematical programming are inter-related.
In the second part, existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastic programming, robust optimization, and fuzzy mathematical programming are explored in terms of mathematical modeling and solution approaches.
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