• DocumentCode
    419090
  • Title

    Scuba search: when selection meets innovation

  • Author

    Verel, Sébastien ; COLLARD, Philippe ; Clergue, Manuel

  • Author_Institution
    Univ. de Nice-Sophia Antipolis, France
  • Volume
    1
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    924
  • Abstract
    We proposed a search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality in fitness landscape. Despite the fact that natural evolution does not directly select for evolvability, the basic idea behind the scuba search heuristic is to explicitly push evolvability to increases. Globally the search process switches between two phases: conquest-of-the-waters and invasion-of-the-land. A comparative study of the algorithm and standard local search heuristics on the NKq-landscapes has shown advantage and limit of the scuba search. To enlighten qualitative differences between neutral search processes, the space is transformed into a connected graph to visualize the pathways that the search is likely to follow.
  • Keywords
    evolutionary computation; graph theory; search problems; NKq-landscapes; connected graph; conquest-of-the-waters; evolvability; fitness landscape; invasion-of-the-land; local search heuristics; natural evolution; neutral search processes; scuba diving metaphor; scuba search heuristic; Digital circuits; Encoding; Evolutionary computation; Genetic mutations; Genetic programming; Network topology; Robots; Switches; Technological innovation; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1330960
  • Filename
    1330960