Intuitionistic Fuzzy Tree Center-Based Clustering Algorithm
Amit R. Khaparde1, M. M. Raghuwanshi2, L. G. Malik3
1Prof. Mr. Amit Khaparde, Ph.D. Research Scholar Department of Computer Science and Engineering, GHRCE, Nagpur and Faculty of RGCER, Nagpur, Maharashtra, India.
2Dr. M. M. Raghuwanshi, Professor, Department of Computer Technology, YCCE, Nagpur, Maharashtra, India.
3Dr. L. G. Malik, Professor, Department of Computer Science and Engineering , GHRCE, Nagpur, Maharashtra, India
Manuscript received on February 09, 2016. | Revised Manuscript received on February 15, 2016. | Manuscript published on March 05, 2016. | PP: 70-73 | Volume-6 Issue-1, March 2016. | Retrieval Number: A2806036116/2016©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Here, we presented, the use of differential evolution algorithm in industrial applications. The differential evolution algorithm is widely used to solve direct, continuous space optimizations problems. The application of DE is present in almost all fields of engineering problems. One real life problem, from the field of electronic engineering name frequency modulation for sound waves synthesis is used to show the efficiency of differential evolution algorithm. The results are further evaluated on the parameter name success rate and success performance , they shows that the DE have very fast convergence rate and having ability to solve the given problem
Keywords: Evolutionary algorithm, sound waves, multi-model problem