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

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 wi...

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Bibliographic Details
Published in:	Ain Shams Engineering Journal Vol. 13; no. 4; p. 101601
Main Authors:	Hassan, M.R., Hamdy, H., Alkhalaf, Salem, Bahaa Eldin, Ayman M, Ahmed, Mahrous, Hemeida, A.M.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2022 Elsevier
Subjects:	Components assignment problem Fuzzy multi-objective linear programming Genetic algorithms Network reliability Node failure Stochastic-flow networks Stochastic-flow networks Network reliability Fuzzy multi-objective linear programming Components assignment problem Node failure Genetic algorithms
ISSN:	2090-4479
Online Access:	Get full text
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Summary:	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.
ISSN:	2090-4479
DOI:	10.1016/j.asej.2021.09.028