• TAYLOR SERIES APPROACH FOR SOLVING CHANCE-CONSTRAIED MULTIOBJECTIVE INTEGER LINEAR FRACTIONAL PROGRAMMING PROBLEM

Omar M. Saad*, Tawfik R. Mohamed, Mervat K. Alshafae, Eman F. Abdellah

Abstract


This paper presents the use of a Taylor series for chance-constrained multiobjective integer linear fractional programming problem (CHMOILFP). The Taylor series is a series expansion that a representation of a function. The basic idea in the proposed approach in treating the (CHMOILFP) is to convert the probabilistic nature of this problem into a deterministic version. and thus the problem is reduced to a single objective. Numerical example is provided in order to show the efficiency and the superiority of the proposed approach.

Keywords


Multiobjective optimization; Integer programming; Stochastic programming;Fractional programming; Taylor series.

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