• DocumentCode
    3274372
  • Title

    Solving Japanese puzzles by genetic algorithms

  • Author

    Tsai, Jinn-Tsong ; Chou, Ping-Yi

  • Author_Institution
    Dept. of Comput. Sci., Nat. Pingtung Univ. of Educ., Pingtung, Taiwan
  • Volume
    2
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    785
  • Lastpage
    788
  • Abstract
    A genetic algorithm (GA) with the condensed encoding and the improved fitness function is used to solve Japanese puzzles. In this study, the condensed encoding can make sure that the chromosome is a feasible solution in rows for Japanese puzzles. In the reconstruction process of a Japanese nonogram, the numbers in the left column are used as encoding conditions, and the numbers in the top row with the improved fitness function are employed to evaluate the reconstruction result. From the computational experiments, the GA is effectively applied to solve a Japanese puzzle.
  • Keywords
    games of skill; genetic algorithms; Japanese nonogram; Japanese puzzles; chromosome; condensed encoding; fitness function; genetic algorithms; reconstruction process; Biological cells; Cybernetics; Encoding; Genetic algorithms; Job shop scheduling; Machine learning; Condensed encoding; Genetic algorithms; Japanese puzzles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016787
  • Filename
    6016787