k-out-of-n Systems Growth Study focusing on Redundant Reliability Systems by using Heuristic Programming Approach

Abstract

The most common problems with nonlinear programming that relate to system dependability optimization include integer variables. If each technology comprises  out of  factors, the configuration can be applied to  out of  systems. To precisely solve a dependability optimization problem using a heuristic approach, only specific structures of the objective function and limits can be used. Its usefulness decreases with the number of restrictions, making it ineffective for maximizing dependability in a large system. In this article the authors review the literature on system reliability optimization with redundancy and integrated reliability models with redundancy, and suggest further improvements.