Semantic aware methods for evolutionary art
Inhaltsverzeichnis
Reference
Penousal Machado and Joao Correia: Semantic aware methods for evolutionary art. GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pp. 301-308, ACM, 12-16 July 2014.
DOI
http://dl.acm.org/citation.cfm?doid=2576768.2598293
Abstract
In the past few years the use of semantic aware crossover and mutation has become a hot topic of research within the Genetic Programming community. Unlike traditional genetic operators that perform syntactic manipulations of programs regardless of their behavior, semantic driven operators promote direct search on the underlying behavioral space. Based on previous work on semantic Genetic Programming and Genetic Morphing, we propose and implement semantic driven crossover and mutation operators for evolutionary art. The experimental results focus on assessing how these operators compare with traditional ones.
Extended Abstract
Bibtex
@inproceedings{Machado:2014:SAM:2576768.2598293,
author = {Machado, Penousal and Correia, Jo\~{a}o},
title = {Semantic Aware Methods for Evolutionary Art},
booktitle = {Proceedings of the 2014 Conference on Genetic and Evolutionary Computation},
series = {GECCO '14},
year = {2014},
isbn = {978-1-4503-2662-9},
location = {Vancouver, BC, Canada},
pages = {301--308},
numpages = {8},
url = {http://doi.acm.org/10.1145/2576768.2598293},
doi = {10.1145/2576768.2598293},
acmid = {2598293},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {computational creativity, evolutionary art, genetic programming, semantic operators},
}
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