Finding the best efficient solution for multi objective programming problems based on the distance of objectives
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https://doi.org/10.14419/8f54vr35
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Abstract
Multi-objective programming is one of the most famous branches of operations research. Several traditional and artificial methods have been used to solve multi-objective problems in different fields. Most of these methods give a set of efficient solutions rather than an optimal solution because the objective functions are conflicting in nature. This leads to different individual solutions, or no one solution can be available for all objective functions. Therefore, they must reconcile. In such a situation, the best way is needed to find a feasible solution that is optimal for all objectives. In other words, it is the best or preferred solution that is considered the closest to the utopian point.
Despite the variety of applied methods, there is not one universal method for solving multiobjective optimization problems. Nevertheless, this paper introduces some new general mathematical models to find the best efficient solution for multi-objective programming problems. They depend on minimizing the distance of objectives from the utopian point for accurate as well as computationally fast approaches. Of course, by doing so, the required solution is directly obtained. Additionally, some illustrative numerical linear and nonlinear examples demonstrate the computational details. The results are compared with the existing solutions in other researches. All results conclude that the proposed methods are very important for decision making and they can be used in a variety of problems having multiple objectives in real life. One can say that these methods are very simple to give useful insights into practical problems. Finally, this work strives to provide the best solution with stable steps, lowest time processing, flexibility, and applicability.
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How to Cite
Gebreel, D. A. Y. G. (2025). Finding the best efficient solution for multi objective programming problems based on the distance of objectives. International Journal of Advanced Mathematical Sciences, 11(1), 55-67. https://doi.org/10.14419/8f54vr35