Lozi Map Generated Initial Population in Analytical Programming

Citation data:

Artificial Intelligence Perspectives in Intelligent Systems, ISSN: 2194-5357, Vol: 464, Page: 297-306

Publication Year:
2016
Usage 166
Abstract Views 162
Downloads 4
Citations 1
Citation Indexes 1
Repository URL:
http://publikace.k.utb.cz/handle/10563/1006420; http://hdl.handle.net/10563/1006420
DOI:
10.1007/978-3-319-33625-1_27
Author(s):
Viktorin, Adam; Pluháček, Michal; Šenkeřík, Roman
Publisher(s):
Springer Nature; Springer Verlag
Tags:
Engineering; Computer Science; Analytical programming; Lozi map; Pseudo-Random number Generator
book chapter description
Analytical programming is a novel approach to symbolic regression independent on the used evolutionary algorithm. This research paper focuses on the usage of Lozi chaotic map based pseudo-random number generator for the generation of the initial population of the selected evolutionary algorithm. The researched benefit is the tendency to generate individuals which are mapped to more complex programs than that of individuals generated by classical pseudo-random number generator. The results show that there is a potential in replacing classical generator by the chaotic map based one in order to generate more complex programs.