Publisher Summary Network reliability encompasses a range of issues related to the design
and analysis of networks which are subject to the random failure of their components …

We employ the Bayesian improved cross entropy (BiCE) method for rare event estimation in
static networks and choose the categorical mixture (CM) as the parametric family to capture …

In this paper, we first introduce a network of learning automata, which we call it as distributed
learning automata and then propose some iterative algorithms for solving stochastic shortest …

Modern society is increasingly reliant on the functionality of infrastructure facilities and utility
services. Consequently, there has been surge of interest in the problem of quantification of …

Route guidance in vehicular roadways has become an important and emerging method of
congestion alleviation. The proliferation of low cost electronics such as sensors, wireless …

Based on the acceptability index for comparison of any two imprecise values, efficient
algorithms have been proposed in the literature for solving shortest path (SP) problem when …

We employ the Bayesian improved cross entropy (BiCE) method for rare event estimation in
static networks and choose the categorical mixture as the parametric family to capture the …

We study the problem of interdicting components of an adversary's system, eg, a war-time
economy, a transportation network, etc. Basic techniques are developed and illustrated with …

Constrained counting and sampling are two fundamental problems in Computer Science
with numerous applications, including network reliability, privacy, probabilistic reasoning …

The problem of finding the expected shortest path in stochastic networks, where the
presence of each node is probabilistic and the arc lengths are random variables, have …