The model is saved in a SAS data set in the sparse input format for PROC LP. Each section of the following DATA step generates a piece of the linear program. The first section generates the objective ...

The multi-objective assignment problem (p ≥ 2) is known to be NP-hard, and previous studies have mainly focused on the bi-objective and three-objective cases. However, this paper stands out as the ...

The goal is to minimize or maximize some objective function, such as the total cost or the total profit of the assignments. For example, you might have to assign workers to machines, students to ...

This repository is an implementation of a local search algorithm (Hill Climbing) to solve the Assignment Problem. The Assignment Problem is a combinatorial optimization problem that involves assigning ...

This project contains code for the paper titled 'Utilising Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems'. The bi-objective QAP is an extension of the classic QAP that ...

Abstract: In this paper, we propose a new possibilistic programming approach to solve a fuzzy multiobjective assignment problem in which the objective function coefficients are characterized by ...

Discover a new modification to solve cubic objective programming problems (COPP) in this paper. Explore an algorithm for its solution, ... New Approach to Solve Cubic Objective Function Programming ...