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Multi-objective optimization of generalized reliability design problems using feature models—A concept for early design stages

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  • Limbourg, Philipp
  • Kochs, Hans-Dieter

Abstract

Reliability optimization problems such as the redundancy allocation problem (RAP) have been of considerable interest in the past. However, due to the restrictions of the design space formulation, they may not be applicable in all practical design problems. A method with high modelling freedom for rapid design screening is desirable, especially in early design stages. This work presents a novel approach to reliability optimization. Feature modelling, a specification method originating from software engineering, is applied for the fast specification and enumeration of complex design spaces. It is shown how feature models can not only describe arbitrary RAPs but also much more complex design problems. The design screening is accomplished by a multi-objective evolutionary algorithm for probabilistic objectives. Comparing averages or medians may hide the true characteristics of this distributions. Therefore the algorithm uses solely the probability of a system dominating another to achieve the Pareto optimal set. We illustrate the approach by specifying a RAP and a more complex design space and screening them with the evolutionary algorithm.

Suggested Citation

  • Limbourg, Philipp & Kochs, Hans-Dieter, 2008. "Multi-objective optimization of generalized reliability design problems using feature models—A concept for early design stages," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 815-828.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:6:p:815-828
    DOI: 10.1016/j.ress.2007.03.032
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    Citations

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    Cited by:

    1. V V Kumar & M Tripathi & M K Pandey & M K Tiwari, 2009. "Physical programming and conjoint analysis-based redundancy allocation in multistate systems: A Taguchi embedded algorithm selection and control (TAS&C) approach," Journal of Risk and Reliability, , vol. 223(3), pages 215-232, September.
    2. Andrés Cacereño & David Greiner & Blas J. Galván, 2021. "Multi-Objective Optimum Design and Maintenance of Safety Systems: An In-Depth Comparison Study Including Encoding and Scheduling Aspects with NSGA-II," Mathematics, MDPI, vol. 9(15), pages 1-39, July.
    3. Wang, Dapeng & Qiu, Haobo & Gao, Liang & Jiang, Chen, 2021. "A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    4. Cristina Johansson & Johan Ölvander & Micael Derelöv, 2018. "Multi-objective optimization for safety and reliability trade-off: Optimization and results processing," Journal of Risk and Reliability, , vol. 232(6), pages 661-676, December.

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