Work

Finding non-dominated vectors in multi-objective linear programming problems

Year: 2018

Type: article

Abstract: In this article, we aim to propose an algorithm to generate non-dominated vectors in multi-objective linear programming problems. In other words, in the case where all variables are integer, we introduce an algorithm to produce a series of non-dominated vectors. Then in the next section, the algorithm is improved. Therefore, two modified versions of the algorithm are introduced. The two versions by reducing number of constraints and binary variables result in better computational performance.

Source: Journal of Fundamental and Applied Sciences

DOI: 10.4314/jfas.v10i2s.56

Author: S. A. Gheidari

Institution: Islamic Azad University, Karaj

Language: English

Topic: Optimization and Mathematical Programming

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W2808578394

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