An Efficient Polarity Optimization Approach for Fixed Polarity Reed-Muller Logic Circuits Based on Novel Binary Differential Evolution Algorithm

Author(s):  
Zhenxue He ◽  
Guangjun Qin ◽  
Limin Xiao ◽  
Fei Gu ◽  
Zhisheng Huo ◽  
...  
Author(s):  
Bhaskar Adepu ◽  
Jayadev Gyani ◽  
G. Narsimha

A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%.


2020 ◽  
Vol 24 (18) ◽  
pp. 14221-14234
Author(s):  
Amir Karbassi Yazdi ◽  
Mohamad Amin Kaviani ◽  
Thomas Hanne ◽  
Andres Ramos

2015 ◽  
Vol 31 (4) ◽  
pp. 361-380 ◽  
Author(s):  
Alfonso Martinez Cruz ◽  
Ricardo Barrón Fernández ◽  
Herón Molina Lozano ◽  
Marco Antonio Ramírez Salinas ◽  
Luis Alfonso Villa Vargas

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