Software reliability is one of the key attributes to determine the quality of a software system. Finding and minimizing the remaining faults in software systems is a challenging task. Software reliability growth model (SRGM) with testing-effort function (TEF) is very helpful for software developers and has been widely accepted and applied. However, each SRGM with TEF (SRGMTEF) contains some und...

The reliability-based design optimization (RBDO) aims to design structures which should be reliable and economical. The RBDO involves the evaluation of probabilistic constraints, which can be done in two different ways : the reliability index approach (RIA), which describes the probabilistic constraint in terms of reliability index, and the performance measure approach (PMA) where the probabili...

Industrial Wireless Sensor Networks (IWSNs), a novel technique in industry control, can greatly reduce the cost of measurement and control and improve productive efficiency. Different from Wireless Sensor Networks (WSNs) in non-industrial applications, the communication reliability of IWSNs has to be guaranteed as the real-time field data need to be transmitted to the control system through IWS...

We apply a genetic algorithm (GA) to optimize a reliability design problem using a neural network as a reliability estimator for calculation of the objective function value during the search. The GA produces the lowest cost option for a required system reliability by selecting the appropriate parts and levels of redundancy. We show that the neural network estimator is effective and computationa...

This paper presents an approach for the reliability–based design optimization of highly safe structural systems where a tail–model is used for computing the reliability constraint during design optimization. It is generally accepted that using central models (e.g., moment– based method or stochastic response surfaces) for estimating large percentiles such as those required in reliability constr...

The reliability is the factor that can't be ignored in the optimization design of the mechanics. In the large complex mechanical systems, especially in the closet-state function systems, the reliability based optimization has the features that the convergence speed is slow, and process easily get trapped in the local optima because of the stronger nonlinearity of the systems. In order to conque...

Making appropriate environmental policy decisions requires considering various sources of uncertainty. An air pollution example is formulated as a design optimization problem with probabilistic constraints, also referred to as reliability-based design optimization (RBDO). Environmental applications with a large number of constraints and significant model complexity present special challenges. I...

Many engineering problems require to optimize the system performance subject to reliability constraints, and this type of problems are commonly referred to as the reliability based optimization (RBO) problems. In this work we propose a derivativefree trust-region (DF-TR) based algorithm to solve the RBO problems. In particular, we are focused on the type of RBO problems where the objective func...

Topological optimization of computer networks is concerned with the selection of a subset of the available links such that the reliability and fault-tolerance aspects are maxhized while meeting a cost constraint. In this case. the problem is stated as opthiring the reliability and fault-tolerance of a network subject to a maximum cost constraint. Existing iterative-based techniques consider the...

Reliability optimization is an important step in industrial systems design. In order to develop a reliable system, designers may introduce different redundant technologies with the same functionality in parallel. In this paper, each technology is assumed to be composed of series components. The obtained configuration belongs to the series-parallel systems. The presented tool is for the design o...