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An approach to find redundant objective function(s) and redundant constraint(s) in multi-objective nonlinear stochastic fractional programming problems

机译:在多目标非线性随机分数规划问题中找到冗余目标函数和冗余约束的方法

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摘要

Structural redundancies in mathematical programming models are nothing uncommon and nonlinear programming problems are no exception. Over the past few decades numerous papers have been written on redundancy. Redundancy in constraints and variables are usually studied in a class of mathematical programming problems. However, main emphasis has so far been given only to linear programming problems. In this paper, an algorithm that identifies redundant objective function(s) and redundant constraint(s) simultaneously in multi-objective nonlinear stochastic fractional programming problems is provided. A solution procedure is also illustrated with numerical examples. The proposed algorithm reduces the number of nonlinear fractional objective functions and constraints in cases where redundancy exists.
机译:数学编程模型中的结构冗余并非罕见,非线性编程问题也不例外。在过去的几十年中,已经撰写了许多关于冗余的论文。通常在一类数学编程问题中研究约束和变量的冗余。但是,到目前为止,主要重点仅在于线性编程问题。本文提供了一种在多目标非线性随机分数规划问题中同时识别冗余目标函数和冗余约束的算法。还通过数值示例说明了求解过程。在存在冗余的情况下,提出的算法减少了非线性分数目标函数和约束的数量。

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