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272766

Maximizing Reliability of Two-Commodity Flow Networks with Time Constraint Using Fuzzy Optimization

Article

Last updated: 23 Jan 2023

Subjects

-

Tags

Basic sciences, new technology, engineering, applied sciences, and agriculture sciences.

Abstract

The main objective of this paper is to study the optimal components assignment problem for a two-commodity flow network via disjoint minimal paths in the existence of system reliability and total lead-time bands. By using fuzzy membership functions, we formulated the problem as fuzzy linear optimization. An algorithm based on genetic algorithm with fuzzy optimization is suggested for solving the presented problem. The proposed approach achieved success in finding an optimal solution that characterized with maximum reliability and minimum total lead-time. Three studied cases are given four nodes, six nodes and fourteen nodes computer networks to illustrate the efficiency of our proposed approach for solving the presented problem. Three studied cases are given four nodes, six nodes and fourteen nodes computer networks to illustrate the efficiency of our proposed approach for solving the presented problem. Three studied cases are given four nodes, six nodes and fourteen nodes computer networks to illustrate the efficiency of our proposed approach for solving the presented problem.

DOI

10.21608/aujst.2022.176925.1007

Keywords

Network Reliability, Stochastic-Flow Networks, Components Assignment Problem, Fuzzy Multi-Objective Linear Programming

Authors

First Name

Ashraf

Last Name

Hemeida

MiddleName

Mohamed

Affiliation

Department of Electrical Engineering, Faculty of Energy Engineering

Email

ashraf@aswu.edu.eg

City

-

Orcid

-

First Name

Moatamed

Last Name

Hassan

MiddleName

Refaat

Affiliation

Department of Mathematics, Faculty of Sciences, Aswan University

Email

mr.hassan@sci.aswu.edu.eg

City

-

Orcid

-

First Name

Heba

Last Name

Hamdy

MiddleName

-

Affiliation

Department of Mathematics, Faculty of Sciences, Aswan University

Email

hhscience2011@yahoo.com

City

-

Orcid

-

Volume

2

Article Issue

2

Related Issue

38033

Issue Date

2022-12-01

Receive Date

2022-11-25

Publish Date

2022-12-01

Page Start

14

Page End

36

Print ISSN

2735-3087

Online ISSN

2735-3095

Link

https://aujst.journals.ekb.eg/article_272766.html

Detail API

https://aujst.journals.ekb.eg/service?article_code=272766

Order

272,766

Type

Original papers

Type Code

2,312

Publication Type

Journal

Publication Title

Aswan University Journal of Sciences and Technology

Publication Link

https://aujst.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

23 Jan 2023