Positional independence and recombination in Cartesian Genetic Programming

被引:0
|
作者
Cai, Xinye [1 ]
Smith, Stephen L. [1 ]
Tyrrell, Andy M. [1 ]
机构
[1] Univ York, Dept Elect, York YO10 5DD, N Yorkshire, England
来源
GENETIC PROGRAMMING, PROCEEDINGS | 2006年 / 3905卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Previously, recombination (or crossover) has proved to be unbeneficial in Cartesian Genetic Programming (CGP). This paper describes the implementation of an implicit context representation for CGP in which the specific location of genes within the chromosome has no direct or indirect influence on the phenotype. Consequently, recombination has a beneficial effect and is shown to outperform conventional CGP in the even-3 parity problem.
引用
收藏
页码:351 / 360
页数:10
相关论文
共 50 条
  • [21] GECCO 2010 Tutorial: Cartesian Genetic Programming
    Miller, Julian F.
    Harding, Simon L.
    GECCO-2010 COMPANION PUBLICATION: PROCEEDINGS OF THE 12TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2010, : 2926 - +
  • [22] Refining Mutation Variants in Cartesian Genetic Programming
    Cui, Henning
    Margraf, Andreas
    Haehner, Joerg
    BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS, 2022, 13627 : 185 - 200
  • [23] GECCO 2012 Tutorial: Cartesian Genetic Programming
    Miller, Julian F.
    Harding, Simon L.
    PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12), 2012, : 1093 - 1116
  • [24] An Empirical Study on the Parametrization of Cartesian Genetic Programming
    Kaufmann, Paul
    Kalkreuth, Roman
    PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION), 2017, : 231 - 232
  • [25] Self-Modifying Cartesian Genetic Programming
    Harding, Simon
    Miller, Julian F.
    Banzhaf, Wolfgang
    GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2007, : 1021 - +
  • [26] Cartesian genetic programming: its status and future
    Miller, Julian Francis
    GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 2020, 21 (1-2) : 129 - 168
  • [27] Improving Image Filters with Cartesian Genetic Programming
    Biau, Julien
    Wilson, Dennis
    Cussat-Blanc, Sylvain
    Luga, Herve
    PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE (IJCCI), 2021, : 17 - 27
  • [28] FMCGP: frameshift mutation cartesian genetic programming
    Fang, Wei
    Gu, Mindan
    COMPLEX & INTELLIGENT SYSTEMS, 2021, 7 (03) : 1195 - 1206
  • [29] Cartesian genetic programming: its status and future
    Julian Francis Miller
    Genetic Programming and Evolvable Machines, 2020, 21 : 129 - 168
  • [30] Parametrizing Cartesian Genetic Programming: An Empirical Study
    Kaufmann, Paul
    Kalkreuth, Roman
    KI 2017: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2017, 10505 : 316 - 322