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Effect of Optimization Tool Approach on Linear Programming Methods to Optimize Mathematical Manipulation

机译:优化工具方法对优化数学运算的线性规划方法的影响

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The main target of this work is based on the effect of optimization tools on linear programming methods to optimize the mathematical calculations. Linear programming plays an important role in our lives. There are various methods to solve LPP, such as simplex, dualsimplex, BigM , two phase and graphical method. In this, an approach is presented to solve LPP by considering the optimization tool of MATLAB and compare it with tabular methods of LPP. The complexity reduction is done by eliminating the large number of steps. By using proposed technique, the calculation part has been completely avoided and we can achieve the results in considerable duration. The objective function of linear programming problem (LPP) involves in the maximization and minimization problem with the set of linear equalities and inequalities constraints. By using optimization tool in MATLAB used for LPP, reduced to form of Linear programming (LP) problem. So practically, for large number of constraints & variables, it is not possible to solve these problems by tabular method.. It takes more computation time & iterations.. By using proposed technique, we can achieve the results in considerable duration & exact optimum solution.
机译:这项工作的主要目标是基于优化工具对线性规划方法的影响,以优化数学计算。线性编程在我们的生活中起着重要作用。解决LPP的方法有很多种,例如单工,双工,BigM,两阶段和图形方法。在本文中,提出了一种通过考虑MATLAB优化工具来解决LPP的方法,并将其与LPP的表格方法进行比较。通过消除大量步骤来降低复杂度。通过使用提出的技术,计算部分已被完全避免,并且我们可以在相当长的时间内获得结果。线性规划问题(LPP)的目标函数涉及带有线性等式和不等式约束的最大化和最小化问题。通过在MATLAB中使用用于LPP的优化工具,简化为线性规划(LP)问题。因此,实际上,对于大量约束和变量,无法通过表格方法解决这些问题。它需要更多的计算时间和迭代次数。通过使用所提出的技术,我们可以在相当长的持续时间内获得精确的最佳解决方案。

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