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|Title:||Reliability analysis and optimization of weighted voting systems with continuous states input|
|Keywords:||Genetic Algorithms (GA)|
Weighted voting systems (WVS)
|Citation:||Long, Q., Xie, M., Ng, S.H., Levitin, G. (2008-11-16). Reliability analysis and optimization of weighted voting systems with continuous states input. European Journal of Operational Research 191 (1) : 238-250. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2007.08.005|
|Abstract:||Weighted voting systems are widely used in many practical fields such as target detection, human organization, pattern recognition, etc. In this paper, a new model for weighted voting systems with continuous state inputs is formulated. We derive the analytical expression for the reliability of the entire system under certain distribution assumptions. A more general Monte Carlo algorithm is also given to numerically analyze the model and evaluate the reliability. This paper further proposes a reliability optimization problem of weighted voting systems under cost constraints. A genetic algorithm is introduced and applied as the optimization technique for the model formulated. A numerical example is then presented to illustrate the ideas. © 2007 Elsevier B.V. All rights reserved.|
|Source Title:||European Journal of Operational Research|
|Appears in Collections:||Staff Publications|
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