A novel multi-distribution multi-state flow network and its reliability optimization problem

2018 ◽  
Vol 176 ◽  
pp. 209-217 ◽  
Author(s):  
Wei-Chang Yeh ◽  
Ta-Chung Chu
Keyword(s):  
Optimization Problem ◽  
Reliability Optimization ◽  
Flow Network ◽  
State Flow

Finding all multi-state minimal paths of a multi-state flow network via feasible circulations

2020 ◽  
Vol 204 ◽  
pp. 107188
Author(s):  
Yi-Feng Niu ◽  
Xiao-Yu Wan ◽  
Xiu-Zhen Xu ◽  
Dong Ding
Keyword(s):  
Flow Network ◽  
Minimal Paths ◽  
State Flow

A method to solve fuzzy reliability optimization problem

1995 ◽  
Vol 35 (2) ◽  
pp. 171-181 ◽  
Author(s):  
Lev V. Utkin ◽  
Sergey V. Gurov ◽  
Igor B. Shubinsky
Keyword(s):  
Optimization Problem ◽  
Reliability Optimization ◽  
Fuzzy Reliability

scholarly journals Evaluation of NSE Price Data Using Reliability of Series Structure Model

2018 ◽  
Vol 7 (4.10) ◽  
pp. 977
Author(s):  
Abdul Razak K ◽  
Rajakumar K
Keyword(s):  
Nonlinear Programming ◽  
Optimization Problem ◽  
Reliability Optimization ◽  
Structure Model ◽  
Price Data ◽  
Modern System ◽  
Taking Care

Fluffy set based techniques have been turned out to be successful in taking care of numerous kinds of vulnerabilities in  various fields, including dependability building. In any modern system, the reliability and cost are considered to be the most important factor and the reliability of the system may be twisted as linear or nonlinear programming. This paper deals the fluffy nonlinear reliability optimization problem for series structure model. The objective of this paper is to quantify the most extreme unwavering quality subject to leat cost using triangular fluffy number. As an illustration, system of five components NSE price data is analyzed  

System Reliability Optimization of Multi-Source Multi-Sink Stochastic Flow Networks With Budget Constraint

2021 ◽  
pp. 2150025
Author(s):  
M. R. Hassan
Keyword(s):  
System Reliability ◽  
Optimization Problem ◽  
Lower Boundary ◽  
Budget Constraint ◽  
Stochastic Flow ◽  
Reliability Optimization ◽  
Flow Networks ◽  
Transmission Cost ◽  
System Reliability Optimization ◽  
Optimal Set

In this paper, we investigate system reliability optimization of multi-source multi-sink flow networks subject to transmission budget constraints. More specifically, we present a mathematical model of the optimization problem and a genetic algorithm (GA) to solve it. The GA is based on determining the optimal set of lower boundary points that maximize system reliability such that transmission cost does not exceed a specified upper bound. Finally, to ensure the efficiency of our approach, we apply our proposed algorithm to various network examples.

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