عنوان مقاله [English]
Considering uncertainty is an Inseparable part of industrial design and close to real issues. Ignoring these uncertainties in design can reduce system performance and even worse lead to failing the mission completely in some cases. In the present study, one of the design methods under uncertainty, namely the worst-case optimization for the design of a hydrogen peroxide monopropellant propulsion system, has been implemented. The proposed method in this study includes two types of epistemic and aleatory uncertainty. This method searches for the optimal point using the genetic algorithm by separating design parameters and variables for all three types of sparse points, single-interval, and multi-interval uncertainty representations. The designer is ineffective in choosing the type of distribution and the type of distribution is determined depending on the available data. In other words, even uncertainty in the type of distribution and its parameters has been considered. Also, the method of maximum likelihood-based is used to estimate the distribution parameters.