Stochastic Formulations Of The Redundancy Allocation Problem (1996)
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BibTeX
@MISC{Coit96stochasticformulations,
author = {David W. Coit and Alice E. Smith},
title = {Stochastic Formulations Of The Redundancy Allocation Problem},
year = {1996}
}
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Abstract
Previous research on the redundancy allocation problem for series-parallel systems has focused on deterministic versions where component reliability is assumed to be an exact value. This paper discusses alternative formulations which allow system reliability and mean time to failure to be treated as random variables. Stochastic formulations allow for explicit consideration of risk aversion, and thus, are more reflective of actual design problems. A genetic algorithm is developed for these problem formulations and is demonstrated on an illustrative problem. KEYWORDS Redundancy Allocation Problem, Genetic Algorithms, Combinatorial Optimization. INTRODUCTION Determination of an optimal or near optimal design is very important to economically produce new systems which meet and exceed customers' expectations for reliability, quality and performance. When developing a new system, there are detailed engineering specifications which prescribe minimum levels of reliability, maximum weight, ...
