%0 Journal Article %1 Georgiou:2006:WSEAS %A Georgiou, Loukas %A Teahan, William J. %D 2006 %J WSEAS Transactions on Systems %K GE GP, algorithms, computation,agents, evolution, evolutionary genetic grammatical jGE, libGE, programming, %N 10 %P 2338--2345 %T Implication of Prior Knowledge and Population Thinking in Grammatical Evolution: Toward a Knowledge Sharing Architecture %V 5 %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, and presents the results of the first experiments which have been conducted towards a knowledge sharing approach using families of populations. The initial results show that the application of Prior Knowledge and Population Thinking in jGE is promising and this drives us toward a further investigation of the family-based approach whose main characteristics are the incorporation of genetic/phenotypic diversity in the population and the sharing of knowledge between individuals of the same groups (families).

@article{Georgiou:2006:WSEAS, 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, and presents the results of the first experiments which have been conducted towards a knowledge sharing approach using families of populations. The initial results show that the application of Prior Knowledge and Population Thinking in jGE is promising and this drives us toward a further investigation of the family-based approach whose main characteristics are the incorporation of genetic/phenotypic diversity in the population and the sharing of knowledge between individuals of the same groups (families).}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Georgiou, Loukas and Teahan, William J.}, biburl = {https://www.bibsonomy.org/bibtex/235d5969e96aca3d45721c62ad9a4471e/brazovayeye}, interhash = {13718cc7d5a78bec731420442a1fcb26}, intrahash = {35d5969e96aca3d45721c62ad9a4471e}, journal = {WSEAS Transactions on Systems}, keywords = {GE GP, algorithms, computation,agents, evolution, evolutionary genetic grammatical jGE, libGE, programming,}, month = {October}, notes = {Check title}, number = 10, pages = {2338--2345}, timestamp = {2008-06-19T17:40:11.000+0200}, title = {Implication of Prior Knowledge and Population Thinking in Grammatical Evolution: Toward a Knowledge Sharing Architecture}, volume = 5, year = 2006 }