• DocumentCode
    3683491
  • Title

    Tutorial II: Representations for evolutionary computation in games

  • Author

    Daniel Ashlock

  • Author_Institution
    Dept. of Math. &
  • fYear
    2015
  • Firstpage
    21
  • Lastpage
    21
  • Abstract
    Representation is a central issue in evolutionary computation. The no free lunch theorem demonstrates that there is no intrinsic advantage in a particular algorithm when considered against complete spaces of problems. The corollary is that algorithms should be fitted to the problems they are solving. Choice of representation is the primary point in the design of an evolutionary algorithm where the designer can incorporate domain knowledge and, in effect, choose the adaptive landscape he is searching. This tutorial will introduces representations for level design, agents for playing mathematical games, and for the design of non-player characters. Time permitting, other examples of representation will be included.
  • Keywords
    "Games","Evolutionary computation","Shape","Bioinformatics","Tutorials","Algorithm design and analysis","Context"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2015 IEEE Conference on
  • ISSN
    2325-4270
  • Electronic_ISBN
    2325-4289
  • Type

    conf

  • DOI
    10.1109/CIG.2015.7317662
  • Filename
    7317662