Title
Lozi Map Generated Initial Population in Analytical Programming.
Abstract
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.
Year
DOI
Venue
2016
10.1007/978-3-319-33625-1_27
ARTIFICIAL INTELLIGENCE PERSPECTIVES IN INTELLIGENT SYSTEMS, VOL 1
Keywords
Field
DocType
Analytical programming,Lozi map,Pseudo-Random number generator
Population,Evolutionary algorithm,Computer science,Chaotic map,Theoretical computer science,Artificial intelligence,Symbolic regression,Machine learning,Pseudorandom number generator
Conference
Volume
ISSN
Citations 
464
2194-5357
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Adam Viktorin12916.76
Michal Pluhacek221747.34
Roman Senkerik337574.92