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http://dx.doi.org/10.5762/KAIS.2016.17.3.117

Development of the new meta-heuristic optimization algorithm inspired by a vision correction procedure: Vision Correction Algorithm  

Lee, Eui Hoon (Department of Civil, Environmental, and Architectural Engineering, Korea University)
Yoo, Do Guen (Research Center for Disaster Prevention Science and Technology, Korea University)
Choi, Young Hwan (Department of Civil, Environmental, and Architectural Engineering, Korea University)
Kim, Joong Hoon (School of Civil, Environmental, and Architectural Engineering, Korea University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.3, 2016 , pp. 117-126 More about this Journal
Abstract
In this study, a new meta-heuristic optimization algorithm, Vision Correction Algorithm (VCA), designed according to the optical properties of glasses was developed. The VCA is a technique applying optometry and vision correction procedure to optimization algorithm through the process of myopic/hyperopic correction-brightness adjustment-compression enforcement-astigmatism adjustment. The proposed VCA unlike the conventional meta-heuristic algorithm is an automatically adjusting global/local search rate and global search direction based on accumulated optimization results. The proposed algorithm was applied to the representative optimization problem (mathematical and engineering problem) and results of the application are compared with that of the present algorithms.
Keywords
Vision correction; Optimization; Algorithm; Meta-heuristic;
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Times Cited By KSCI : 4  (Citation Analysis)
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