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2025, Vol. 10, Issue 2, Part B

Multi-Objective integer quadratic programming problems under Uncertainty: A parametric investigation


Author(s): Ras Bihari Soni, Dharamender Singh and Kailash Chand Sharma

Abstract: A parametric examination of the multi-objective integer quadratic programming problem under uncertainty is presented in this paper. A quadratic multi-objective integer programming problem with stochastic parameters on the right side and all constraints occurring with a specified probability is presented using the suggested method. We assume that every random variable has a normal distribution. The set of feasible parameters, the solvability set, and the stability set of the first kind (SSK1) are the three fundamental concepts that will primarily drive our attention. An exemplary case and an algorithm to explain the proposed theory are provided.

Pages: 127-133 | Views: 57 | Downloads: 5

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Ras Bihari Soni, Dharamender Singh, Kailash Chand Sharma. Multi-Objective integer quadratic programming problems under Uncertainty: A parametric investigation. Int J Stat Appl Math 2025;10(2):127-133.

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