Most of the previously reported literature focused primarily on the reliability evaluation and prediction of component–based software systems, rather than exploring cost/reliability tradeoffs among competing architectural alternatives. A few techniques which treat the subject of reliability optimization assume the system to be series–parallel, an assumption that does not hold even in the case o...

Abstract This study considers structural optimization under a reliability constraint, in which the input distribution is only partially known. Specifically, when it known that expected value vector and variance-covariance matrix of belong to given convex set, required failure probability structure should be no greater than specified target for any realization distribution. We demonstrate this d...

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

Portfolio optimization problems are rather easy to solve if one assumes normality of the (joint) distribution returns with given parameters and a linear objective function, subject some risk constraints. Higher degrees complexities arise when taking into account (i) non- asset classes, (ii) non-normal distributions, (iii) constraints on lot size, portfolio shares etc., (iv) uncertainty paramete...

This paper addresses the computational challenges in reliability-based topology optimization (RBTO) of structures associated with estimation statistics objective and constraints using standard sampling methods. The aim is to overcome accuracy issues traditional methods that rely on approximating limit-state function. Herein, we present a stochastic gradient-based approach, where estimate probab...