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http://dx.doi.org/10.5762/KAIS.2021.22.1.61

Development of Hybrid Vision Correction Algorithm  

Ryu, Yong Min (Department of Civil Engineering, Chungbuk National University)
Lee, Eui Hoon (School of Civil Engineering, Chungbuk National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.1, 2021 , pp. 61-73 More about this Journal
Abstract
Metaheuristic search methods have been developed to solve problems with a range of purpose functions in situations lacking information and time constraints. In this study, the Hybrid Vision Correction Algorithm (HVCA), which enhances the performance of the Vision Correction Algorithm (VCA), was developed. The HVCA has applied two methods to improve the performance of VCA. The first method changes the parameters required by the user for self-adaptive parameters. The second method, the CGS structure of the Exponential Bandwidth Harmony Search With a Centralized Global Search (EBHS-CGS), was added to the HVCA. The HVCA consists of two structures: CGS and VCA. To use the two structures, a method was applied to increase the probability of selecting the structure with the optimal value as it was performed. The optimization problem was applied to determine the performance of the HVCA, and the results were compared with Harmony Search (HS), Improved Harmony Search (IHS), and VCA. The HVCA improved the number of times to find the optimal value during 100 repetitions compared to HS, IHS, and VCA. Moreover, the HVCA reduced the Number of Function Evaluations (NFEs). Therefore, the performance of the HVCA has been improved.
Keywords
Optimization; Self-adaptive; Improved Harmony Search; Centralized Global Search; Vision Correction Algorithm;
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