A Comparative Study on Crossover in Cartesian Genetic Programming

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130691" target="_blank" >RIV/00216305:26230/18:PU130691 - isvavai.cz</a>

Result on the web

<a href="https://www.fit.vut.cz/research/publication/11555/" target="_blank" >https://www.fit.vut.cz/research/publication/11555/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-77553-1_13" target="_blank" >10.1007/978-3-319-77553-1_13</a>

Result language

angličtina

Original language name

A Comparative Study on Crossover in Cartesian Genetic Programming

Original language description

Cartesian Genetic Programming is often used with mutation as the sole genetic operator. Compared to the comprehensive and detailed knowledge about the effect and use of mutation in CGP, the use of crossover has been less investigated and studied. In this paper, we present a comparative study of previously proposed crossover techniques for Cartesian Genetic Programming. This work also includes the proposal of a new crossover technique which swaps block of the CGP phenotype between two selected parents. The experiments of our study open a new perspective on comparative studies on crossover in CGP and its challenges. Our results show that it is possible for a crossover operator to outperform the standard (1 + lambda) strategy on a limited number of tasks. The question of finding a universal crossover operator in CGP remains open.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA16-17538S" target="_blank" >GA16-17538S: Relaxed equivalence checking for approximate computing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Genetic Programming 21st European Conference, EuroGP 2018, Proceedings

ISBN

978-3-319-77553-1

ISSN

0302-9743

e-ISSN

—

Number of pages

17

Pages from-to

203-219

Publisher name

Springer International Publishing

Place of publication

Cham

Event location

Parma

Event date

Apr 4, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—