How to optimally allocate redundant routers for high availability (HA) networks is a crucial task. In this paper, a 5-tuple availability function A (N ,M, , , ) is proposed to determine the minimum required number of standby routers to meet the desired availability ( ) of an HA router, where N and M are the numbers of active routers and standby routers, respectively, and , , and are a single ro...

Coolen [1] presented lower and upper probabilities for prediction of Bernoulli random quantities, which have strong internal consistency properties within the theory of interval probability. These lower and upper probabilities followed from an assumed underlying latent variable model, with future outcomes of random quantities related to data by Hill’s assumption A(n) [3], and they are part of a...

This paper optimizes a well known NP-hard combinatorial problem redundancy allocation using a combined neural network and genetic algorithm (GA) approach. The GA searches for the minimum cost solution by selecting the appropriate components for a series-parallel system, given a minimum system reliability constraint. A neural network is used to estimate the system reliability value during search...

This paper studies the three-state series-parallel (S-P) devices network reliability redundancy allocation problem (RAP) whose different components is paralleled, and the objective function is maximized with cost and weight constraints. A new model is built. A new algorithm is constructed by using an objective function, that is, the discrete particle swarm optimization algorithm with compressio...

In this research, a new hybrid model for the redundancy allocation problem (RAP) in series-parallel configuration with k-out-of-n subsystem is presented. given model, policy set to an active, warm standby, or no redundancy. standby policy, imperfect switch detected component's failure and replaced fail component one. So, subsystems' one of model's decision variables. We presented objective func...

This study focuses on effectively designing reliable systems. Such systems are capable of withstanding failure events by applying multiple realistic workarounds. These workarounds include allocating redundancy, component reliability, and backup strategy that considered concurrently as decision variables. In this novel view, the reliability components determined freely independently to achieve o...

Multi-objective problems are often solved by modifying them into equivalent single objective problems using pre-defined weights or utility functions. Then, a multi-objective problem is solved similar to a single objective problem returning a single solution. These methods can be problematic because assigning appropriate numerical values (i.e., weights) to an objective function can be challengin...