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As an important type of reliability optimization problems, the component assignment problem (CAP) is to find the optimal arrangement of n available components to n positions of a system such that the resulting system reliability is maximized. The CAP is a combinatorial problem in nature and needs effective solution methods. The importance measures of components, e.g., the Birnbaum importance (BI),...
In this paper, ant colony optimization (ACO) algorithm is introduced to redundant instruments placement for optimum process variable estimation accuracy. It is proved that additional redundancy measurement will enhance estimation accuracy if the measurements relate the process variables in a different way, whereas the quantity of accuracy improvement is determined by the measurements structure. To...
Well known job schedule problem is NP-hard in management and operating system. A few of evolution algorithms such as GA have been proposed to approach this kind of problems. At present estimation of distribution algorithms are the leading heuristic algorithms which overcome the defect of tradition GA and reflex more excellent property than others. In this paper effective of EDA are tested by the job...
In this work, we propose a framework for supervisory cooperative estimation of multi-agent linear time-invariant (LTI) systems. We introduce a group of sub-observers, each estimating certain states that are conditioned on given input, output, and state information. The cooperation among the sub-observers is supervised by a discrete-event system (DES) supervisor. The supervisor makes decisions on selecting...
A methodology for generating optimal sensor location design for wireless sensor network (WSN) is presented. Location of sensors, cost of measurement and frequency of sampling are important factors that have been incorporated in the sensor network design formulation. The proposed methodology is based on the beacon-less location discovery scheme between the quality of state estimation and the total...
Linear fuzzy clustering is a fuzzy clustering-based local PCA technique, in which the Fuzzy c-Means (FCM)-like iterative procedure is performed by using linear varieties as the prototypes of clusters. Fuzzy c-Medoids (FCMdd) is a modified FCM algorithm, in which the representative objects ldquomedoidsrdquo are selected from data samples, and is useful for handling relational data. This paper proposes...
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