涉及概率密度函数的LPP运输问题

Mohammad Rashid Hussain, Mohammed Qayyum, Mohammad Equebal Hussain
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引用次数: 0

摘要

在线性规划问题(LPP)中,运输问题(TP)是利用统计方法的概率密度函数进行优化的一个应用。本文的主要目标是通过满足目标函数与约束之间的最大关系来降低LPP最大化问题的复杂性。在这里,我们使用了形式为xmeλx的非负整数和复数的线性组合。用合理的大概率、决策域、基本概率和拉普拉斯变换确定了它。为了得到所提出的结果,我们将概率密度函数应用于运输问题。根据我们提出的方法,我们通过统计工具的概率密度函数实现数学模型。从范畴上讲,概率密度函数是本文方法中获得运输问题可行解的一种方法,其性能优于现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transportation Problem of LPP Involving Probability Density Function
In Linear Programming Problem (LPP), Transportation Problem (TP) is an application which is used to optimize through the probability density function of statistical approach. The main objective of this paper is to reduce complexity in Maximization problem of LPP, by fulfilling the relation between the objective function and constraints with the largest value.  Here, we used non-negative integer and complex number of linear combination of form xmeλx. It has been decided with reasonably great probability, decision region, fundamental probabilities and Laplace Transform (LT).  To obtain proposed results we applied probability density function over transportation problem. According to our proposed method we implemented mathematical model through the probability density function of statistical tools. Categorically, probability density function is an approach in our proposed method to obtain the feasible solution of transportation problem, which perform better than the existing methods.
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