Optimal components assignment problem for a flow network with node failure using fuzzy optimization

被引：0

作者：

Hassan, M. R. ^{[1
]}

Hamdy, H. ^{[1
]}

Alkhalaf, Salem ^{[2
]}

Eldin, Ayman M. Bahaa ^{[3
]}

Ahmed, Mahrous ^{[4
]}

Hemeida, A. M. ^{[5
]}

机构：

[1] Aswan Univ, Fac Sci, Math Dept, Comp Sci Branch, Aswan, Egypt

[2] Qassim Univ, Coll Sci & Arts Ar Rass, Dept Comp, Ar Rass, Saudi Arabia

[3] Misr Int Natl Univ, Cairo, Egypt

[4] Taif Univ, Coll Engn, Dept Elect Engn, POB 11099, Taif 21944, Saudi Arabia

[5] Aswan Univ, Fac Energy Engn, Elect Engn Dept, Aswan, Egypt

来源：

AIN SHAMS ENGINEERING JOURNAL | 2022年 / 13卷 / 04期

关键词：

Network reliability; Components assignment problem; Stochastic-flow networks; Fuzzy multi-objective linear programming; Node failure; Genetic algorithms; LINEAR-PROGRAMMING PROBLEMS; ROBUST DESIGN PROBLEM; RELIABILITY EVALUATION; SYSTEM RELIABILITY; GENETIC ALGORITHM; BRANCHES;

D O I：

10.1016/j.asej.2021.09.028

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The optimal components assignment problem in a flow network with node failure in the presence of system reliability and total lead-time constraints is studied in this paper. By using fuzzy membership functions, we formulated the problem as fuzzy linear optimization. Genetic optimization algorithm with fuzzy optimization is suggested for solving the presented problem. The suggested approach succeeded in finding an optimal solution that distinguishes with increasing reliability and minimizing total lead-time. The suggested technique is examined on various models, four nodes, six nodes, and eight nodes computer networks. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.

引用

页数：13

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