유전자 알고리즘을 이용한 고정 셀에서 글자 폰트(font) 최적화

Translated title of the contribution: Word Processor font optimization in Fixed-function cell Using a Genetic Algorithm

Research output: Contribution to journalArticlepeer-review

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.
Translated title of the contributionWord Processor font optimization in Fixed-function cell Using a Genetic Algorithm
Original languageKorean
Pages (from-to)163-172
Number of pages10
Journal한국컴퓨터정보학회논문지
Volume18
Issue number10
StatePublished - Oct 2013

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