Redundancy allocation problem (RAP) has attracted many researchers in recent years as it
is very important aspect in the field of reliability and system engineering. It plays an …

This paper aims to minimize the expected daily inspection cost of a k-out-of-n load-sharing
system with identical components. We consider a hybrid mixed-redundancy strategy for the …

This paper considered a new single-objective redundancy allocation problem with a mix of
components (RAPMC) for a series-parallel system. The components are Binary-State …

In this research, a new hybrid model for the redundancy allocation problem (RAP) in a series-
parallel configuration with the k-out-of-n subsystem is presented. In the given model, the …

As most of the energy production and transformation processes are safety-critical, it is vital to
develop tools that support the analysis and minimisation of their reliability-related risks. The …

This paper aims to solve Redundancy allocation problem (RAP). It is a significant complex
optimization and non-linear integer programming problem of reliability engineering. RAP …

The redundancy allocation problem is to find an optimal allocation of redundant components
by considering the set of resources and cost constraints. In this research, the satellite attitude …

In recent years, we are in front of exponential increasing of the learning resources on the
Web. It takes a lot of the learner's time and effort to locate training resources that are …

The advancement of reinforcement learning techniques has increased their application
across many industries, including the financial markets. An overview of reinforcement …

Traditional recommender systems provide recommendations based on two dimensions
(item and user), which can impact the quality of recommendation since they only use two …