activity
20222024
most citedA new geometric approach for sensitivity analysis in linear programming

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2024

Sensitivity analysis of multiobjective linear programming from a geometric perspective

Mustapha Kaci

Sensitivity analysis plays a crucial role in multiobjective linear programming (MOLP), where understanding the impact of parameter changes on efficient solutions is essential. This…

math.OC2024

Optimizing Resource Allocation for COVID-19 Vaccination Planning within Long-Term Care Facilities: A Refined Multilevel Linear Programming Approach

Mustapha Kaci

In this paper, we introduce an algorithm designed to solve a Multilevel MOnoObjective Linear Programming Problem (ML(MO)OLPP). Our approach is a refined adaptation of Sinha and Sin…

math.OC2023★ 1 cited

A new geometric approach for sensitivity analysis in linear programming

Mustapha Kaci, Sonia Radjef

In this paper, we present a new geometric approach for sensitivity analysis in linear programming that is computationally practical for a decision-maker to study the behavior of th…

math.OC2022

Solving a multilevel linear programming problems through a new constructive approach

Mustapha Kaci, Sonia Radjef

In this paper, an algorithm is developed to solve a multilevel mono-objective linear programming problem (ML(MO)LPP), where the constructive adaptive method of linear programming i…

math.OC2022★ 1 cited

An adaptive method to solve multilevel multiobjective linear programming problems

Mustapha Kaci, Sonia Radjef

This paper is a follow-up to a previous work where we defined and generated the set of all possible compromises of multilevel multiobjective linear programming problems (ML-MOLPP).…

math.OC2022★ 1 cited

A new geometric approach to multiobjective linear programming problems

Mustapha Kaci, Sonia Radjef

In this paper, we present a novel method for solving multiobjective linear programming problems (MOLPP) that overcomes the need to calculate the optimal value of each objective fun…