This paper presents a new multi-objective mathematical model for the redundancy allocation problem with the choices of a redundancy strategy and component type in series-parallel systems. The model considers entropy measure which is a measure of uncertainty in the information theory. For the first time, the model maximizes the reliability and entropy of the system and minimizes the nonlinear co...

The Redundancy Allocation Problem (RAP) is well-known in the field of reliability optimization. In this paper, RAP investigated assuming that distribution time to failure components has form an Erlang with a time-dependent rate parameter and considering choice redundancy for each subsystem can be none, active, standby or mixed. A genetic algorithm used solve problem optimal allocation. To analy...

The mathematical model to find the optimal shopping policy from many available manufacturers for 1-out-of-n active redundancy series systems under budget constraint was formulated and tested using GA. The study showed that the number of possible combinations for this problem can be very high and the majority of those combinations are infeasible. This renders the enumeration technique ineffectiv...

Bipartite ranking is a fundamental ranking problem that learns to order relevant instances ahead of irrelevant ones. One major approach for bipartite ranking, called the pair-wise approach, tackles an equivalent binary classification problem of whether one instance out of a pair of instances should be ranked higher than the other. Nevertheless, the number of instance pairs constructed from the ...

Deep learning has become a powerful and popular tool for a variety of machine learning tasks. However, it is extremely challenging to understand the mechanism of deep learning from a theoretical perspective. In this work, we study robustness of a deep network in its generalization capability against removal of a certain number of connections between layers. A critical value of this number is ob...

Continuity of service and cost-effectiveness are adding new challenges to life critical systems over and above the underlying safety concerns. The introduction of redundant components is a necessary condition for increasing the overall system availability with respect to physical component failures. Here we consider redundancy by means of replicating fail-safe components in a distributed real-t...

|Although knowledge discovery is increasingly important in databases, discovered knowledge is not always useful to users. It is mainly because the discovered knowledge does not t user's interests, or it may be redundant or inconsistent with a priori knowledge. Knowledge discovery in databases depends critically on how well a database is characterized and how consistently the existing and discov...