MA Jiming, CHEN Haoyang and ZHANG Song. Beetle antennae search algorithm based on chaotic disturbance mechanism and its application in image enhancement[J]. Journal of Light Industry, 2019, 34(3): 68-76. doi: 10.3969/j.issn.2096-1553.2019.03.008
Citation:
MA Jiming, CHEN Haoyang and ZHANG Song. Beetle antennae search algorithm based on chaotic disturbance mechanism and its application in image enhancement[J]. Journal of Light Industry, 2019, 34(3): 68-76.
doi:
10.3969/j.issn.2096-1553.2019.03.008
Beetle antennae search algorithm based on chaotic disturbance mechanism and its application in image enhancement
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China
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Received Date:
2018-12-03
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Abstract
To solve the problem of slow convergence,low precision and poor global search effect of beetle antennae search algorithm (BAS), an improved beetle antennae search algorithm (CDBAS) based on chaotic disturbance mechanism was proposed.The algorithm disturbed the position of longicorn by chaotic mechanism, searched the region with large global fitness value first in iteration, and then searched in the region.Comparation of BAS and CDBAS with 7 test functions showed that CDBAS algorithm had better optimization performance, faster convergence speed and higher accuracy.The CDBAS algorithm was applied to image enhancement. The results showed that the enhancement effect of CDBAS algorithm was more obvious, the image was clearer and the hierarchical information was more abundant.
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