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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(10), pp.163-172
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김상원 1 Seung-Hee Kim 2 WOOJE KIM 1

1서울과학기술대학교
2서울과학기술대학교 IT정책전문대학원 산업정보시스템학과

Accredited

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.

Citation status

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