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

机译:具有预算约束的多源多槽随机流动网络的系统可靠性优化

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摘要

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.
机译:在本文中,我们研究了经过传输预算约束的多源多汇流网络的系统可靠性优化。 更具体地,我们介绍了优化问题的数学模型和遗传算法(GA)来解决它。 GA基于确定最大化系统可靠性的最佳较低边界点集,使得传输成本不超过指定的上限。 最后,为了确保我们的方法的效率,我们将所提出的算法应用于各种网络示例。

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