• DocumentCode
    460782
  • Title

    Survival and Construction Theory for One-Point Crossover

  • Author

    Ming, Liang ; Wang, Yuping

  • Author_Institution
    Sch. of Sci., Xidian Univ., Xi´´an
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    197
  • Lastpage
    201
  • Abstract
    As a fundamental operator in genetic algorithms (GAs), crossover may not only make an existing schema survived, but also construct a new one from other existing schemata. Unfortunately, the traditional schema theorem (Holland 1975) does not take into account the positive effects of a schema construction through crossover operation. Thus, they can not well characterize the evolution of a schema. In this paper we first propose a new ternary representation, through which the survival and construction of a schema can be easily distinguished. Subsequently, we discuss the survival theory and construction one for one-point crossover. It deepens and generalizes the existing results on schema theorems
  • Keywords
    genetic algorithms; mathematical operators; construction theory; genetic algorithm; one-point crossover operator; survival theory; ternary representation; Adaptive control; Artificial neural networks; Biological cells; Computer science; Fuzzy systems; Genetic algorithms; Machine learning; Machine learning algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294121
  • Filename
    4072074