Titlebook: Computational Intelligence in Reliability Engineering; New Metaheuristics, Gregory Levitin Book 2007 Springer-Verlag Berlin Heidelberg 200

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https://doi.org/10.1007/978-3-642-60140-8unication networks, robots, and manufacturing facilities. Critical measures of performance of these systems include reliability, cost, and weight. Optimal system design aims to optimize such performance measures.

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https://doi.org/10.1007/978-3-322-99965-8ing various reliability problems. However, it is not suitable when the failure probabilities concerned are very small (e.g., 10.) or when there is a lack of sufficient data. As a result, researchers have been searching for new models and new reliability theories that overcome the shortcomings of the

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https://doi.org/10.1007/978-3-322-99965-8ical systems. The rapid development of the theory of reliability was closely related to the importance of its main field of applications - military and space. For this reason the origins of the research in the area of reliability are still not well known. Ralph A. Evans, one of the founders of the I

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https://doi.org/10.1007/978-3-322-99965-8d Feingold [2] foundational work in repairable system modeling, many works were contributing to this research field, for example, Anderson et al [1], Cox [7], Dagpunar [9], Kijima [53], and Guo et al [27].

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Grey Differential Equation GM(1,1) Models in Repairable System Modeling,d Feingold [2] foundational work in repairable system modeling, many works were contributing to this research field, for example, Anderson et al [1], Cox [7], Dagpunar [9], Kijima [53], and Guo et al [27].