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http://dx.doi.org/10.9708/jksci.2013.18.10.163

Word Processor font optimization in Fixed-function cell Using a Genetic Algorithm  

Kim, Sang-Won (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology)
Kim, Seung-Hee (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology)
Kim, Woo-Je (School of Global Convergence of Industrial Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.10, 2013 , pp. 163-172 More about this Journal
Abstract
This study was conducted to explore a method of displaying optimized letters that fit the size of tables using a genetic algorithm. As a result, fonts with optimized letters of different lengths were offered through optimum values of the font size, line spacing, and letter spacing by calculating the width and height of the cell and number of letters to be entered. This study is significant in that it provides a solution to letter optimization issues in fixed cells that occur in various word processors that are currently used, through the genetic algorithm.
Keywords
GA; font; Optimization; Hanguel; word process; cell optimization;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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