%0 Conference Paper %1 Georgiou:2006:10WSEAS %A Georgiou, Loukas %A Teahan, William J. %B 10th WSEAS International Conference on Systems %C Athens, Greece %D 2006 %K GE GP, algorithms, computation,agents, evolution, evolutionary genetic grammatical jGE, libGE, programming, %P 534--869 %T jGE - A Java implementation of Grammatical Evolution %X Grammatical Evolution (GE) is a novel evolutionary algorithm which uses an arbitrary variable-length binary string to govern which production rule of a Backus Naur Form grammar will be used in a genotype-to-phenotype mapping process. This paper introduces the Java GE project (jGE), which is an implementation of GE in the Java language. The main difference between jGE and libGE, a public domain implementation of GE in C++, is that jGE incorporates the functionality of libGE as a component and provides implementation of the Search Engine as well as the Evaluator. The main idea behind the jGE Library it can be downloaded at is to create a framework for evolutionary algorithms which can be extended to any specific implementation such as Genetic Algorithms, Genetic Programming and Grammatical Evolution.

@inproceedings{Georgiou:2006:10WSEAS, abstract = {Grammatical Evolution (GE) is a novel evolutionary algorithm which uses an arbitrary variable-length binary string to govern which production rule of a Backus Naur Form grammar will be used in a genotype-to-phenotype mapping process. This paper introduces the Java GE project (jGE), which is an implementation of GE in the Java language. The main difference between jGE and libGE, a public domain implementation of GE in C++, is that jGE incorporates the functionality of libGE as a component and provides implementation of the Search Engine as well as the Evaluator. The main idea behind the jGE Library it can be downloaded at is to create a framework for evolutionary algorithms which can be extended to any specific implementation such as Genetic Algorithms, Genetic Programming and Grammatical Evolution.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Athens, Greece}, author = {Georgiou, Loukas and Teahan, William J.}, biburl = {https://www.bibsonomy.org/bibtex/2f8bf998a9875c9f1c4bce5891929f3f7/brazovayeye}, booktitle = {10th WSEAS International Conference on Systems}, interhash = {cd52bdd5b4f4ceccfc0f83d2a10d3da0}, intrahash = {f8bf998a9875c9f1c4bce5891929f3f7}, keywords = {GE GP, algorithms, computation,agents, evolution, evolutionary genetic grammatical jGE, libGE, programming,}, month = {July 10-15}, pages = {534--869}, timestamp = {2008-06-19T17:40:11.000+0200}, title = {j{GE} - {A} Java implementation of Grammatical Evolution}, year = 2006 }