Replacement Algorithms for the Multiple Complex-System Model
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Abstract
This research examines the NKC model, a model for studying behaviors of the multiple complex systems, in some certain aspects. In particular, various algorithms to be used in the replacement process of the NKC model are proposed. The NKC model incorporates the effects of interaction among components both in the same and different subsystems on the expected overall system performance. The objective of this combinatorial optimization model using the proposed replacement approaches is to achieve the highest level of such performance while at the same time, trying to reduce the expected number of replacements needed to arrive at that level. Through the use of computer simulations, it is shown how the different replacement algorithms affect these values of interest, that is, the expected overall system performance and the expected number of replacements.
Keywords: Replacement Algorithms, Complex Systems, Mathematical Modeling
Corresponding author: E-mail: klchartc@kmitl.ac.th
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