In this paper, a hybrid TS-DE algorithm based on Tabu search and differential evolution algorithm is proposed to solve the reliability redundancy optimization problem. A differential evolution algorithm is embedded in Tabu search algorithm. TS is applied for searching solutions space, and DE is used for generating neighborhood solutions. The advantages of both algorithms are considered simultan...

In this study, a new strategic model called Markov-based cold standby combined with components mixing (RRAP-CM-MCCS), is proposed to improve system reliability. The optimization method used here simplified swarm (SSO), in which SSO adopts multi-role resource sharing strategy provide the diverse required by RRAP-CM-MCCS. diversity lies providing every component subsystem its own failure rate as ...

Redundancy optimization problem with cost constraints is a typical problem in reliability engineering. This study investigates standby redundancy optimization problem with uncertain lifetimes and uncertain costs. Three models for optimizing different performances of a standby system are formulated. In these models, maximizing the reliability measure, maximizing the system lifetime and minimizin...

Data redundancy is ubiquitous in the inputs and intermediate results of Deep Neural Networks (DNN) . It offers many significant opportunities for improving DNN performance efficiency has been explored a large body work. These studies have scattered venues across several years. The targets they focus on range from images to videos texts, techniques use detect exploit data also vary aspects. Ther...

Redundancy identification and removal is a critical step that typically follows logic synthesis or optimization. In principle, it should be possible to restrict the transformations applied by synthesis and optimization algorithms to those that preserve testability. In practice, however, few, if any, synthesis programs can guarantee the irredundancy of the logic circuits they produce. It may als...

In this paper, a modified particle swarm optimization (MPSO) algorithm is proposed to solve the reliability redundancy optimization problem. This algorithm modifies the strategy of generating new position of particles. For each generation solution, the flight velocity of particles is removed. Whereas the new position of each particle is generated by using difference strategy. Moreover, an adapt...