Java evolutionary framework based on genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Karasek:2014:SPIN,
-
author = "Jan Karasek and Radim Burget and
Malay Kishore Dutta and Anushikha Singh",
-
title = "Java evolutionary framework based on genetic
programming",
-
booktitle = "International Conference on Signal Processing and
Integrated Networks (SPIN 2014)",
-
year = "2014",
-
month = feb,
-
pages = "606--612",
-
keywords = "genetic algorithms, genetic programming, genetic
improvement, hash function, ultra sound image
processing, JEF",
-
DOI = "doi:10.1109/SPIN.2014.6777026",
-
abstract = "Automatic optimisation techniques, such as
evolutionary algorithms, have become popular in the
recent years as a general, simple, robust, and scalable
solution which can be applied when other optimisation
method fails. Recently, many evolutionary and/or
genetic based optimisation frameworks and libraries
have been developed and lot of them is freely
available. On the other hand, there are not many tools
in optimisation field that allows the researchers to
implement own code, modify existing code or compare
different algorithms. This paper proposes a new grammar
driven genetic programming based framework implemented
in cross-platform Java programming language which
allows to implement own code, modify existing, and
analyse algorithms. The framework described in this
paper addresses the problem of flexibility, modularity,
portability, and presents a general architecture for
evolutionary optimisation based on genetic programming
driven by context free grammar distributed under the
LGPL license suitable for both scientific and business
applications. In the paper is described a design of the
framework, the motivation for development, and two
use-cases.",
-
notes = "Also known as \cite{6777026}",
- }
Genetic Programming entries for
Jan Karasek
Radim Burget
Malay Kishore Dutta
Anushikha Singh
Citations