An Improved Bat Algorithm based on Whale Optimization Algorithm for Data Clustering

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Damya Neda; SOLEIMANIAN GHAREHCHOPOGH FARHAD

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY Year:2020 | Volume:6 | Issue:4 Page(s): 227-238

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Title

An Improved Bat Algorithm based on Whale Optimization Algorithm for Data Clustering

Author(s)

Damya Neda | SOLEIMANIAN GHAREHCHOPOGH FARHAD | Issue Writer Certificate

Keywords

Bat Algorithm

Whale Optimization Algorithm

Data Clustering

Optimization

Abstract

Clustering is a method of data analysis and one of the important methods in data mining that has been considered by researchers in many fields as well as in many disciplines. In this paper, we propose combining WOA with BA for Data Clustering. To assess the efficiency of the proposed method, it has been applied in Data Clustering. In the proposed method, first, by examining BA thoroughly, the weaknesses of this algorithm in exploitation and exploration are identified. The proposed method focuses on improving BA exploitation. Therefore, in the proposed method, instead of the random selection step, one solution is selected from the best solutions, and some of the dimensions of the position vector in BA are replaced We change some of the best solutions with the step of reducing the encircled mechanism and updating the WOA spiral, and finally, after selecting the best exploitation between the two stages of WOA exploitation and BA exploitation, the desired changes are applied on solutions. We evaluate the performance of the proposed method in comparison with other meta-heuristic algorithms in the Data Clustering discussion using six datasets. The results of these experiments show that the proposed method is statistically much better than the standard BA and also the proposed method is better than the WOA. Overall, the proposed method was more robust and better than the Harmony Search Algorithm (HAS), Artificial Bee Colony (ABC), WOA and BA.

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APA: Copy

Damya, Neda, & SOLEIMANIAN GHAREHCHOPOGH, FARHAD. (2020). An Improved Bat Algorithm based on Whale Optimization Algorithm for Data Clustering. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 6(4), 227-238. SID. https://sid.ir/paper/968738/en

Vancouver: Copy

Damya Neda, SOLEIMANIAN GHAREHCHOPOGH FARHAD. An Improved Bat Algorithm based on Whale Optimization Algorithm for Data Clustering. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2020;6(4):227-238. Available from: https://sid.ir/paper/968738/en

IEEE: Copy

Neda Damya, and FARHAD SOLEIMANIAN GHAREHCHOPOGH, “An Improved Bat Algorithm based on Whale Optimization Algorithm for Data Clustering,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 6, no. 4, pp. 227–238, 2020, [Online]. Available: https://sid.ir/paper/968738/en

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