%0 Conference Paper %1 tomassini:2003:EA %A Tomassini, Marco %A Vanneschi, Leonardo %A Fernandez, Francisco %A Galeano, German %B Evolution Artificielle, 6th International Conference %C Marseilles, France %D 2003 %E Liardet, Pierre %E Collet, Pierre %E Fonlupt, Cyril %E Lutton, Evelyne %E Schoenauer, Marc %I Springer %K Artificial Evolution algorithms, genetic programming, %P 243--255 %R doi:10.1007/b96080 %T A Study of Diversity in Multipopulation Genetic Programming %U http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2936&spage=243 %V 2936 %X using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable genotypic and phenotypic diversity measures, we apply them to three standard test problems. The experimental results indicate that using multiple populations helps in maintaining phenotypic diversity. We hypothesise that this could be one of the reasons for the better performance observed for distributed GP with respect to panmictic GP. Finally, we trace a sort of history of the optimum individual for a set of distributed GP runs, trying to understand the dynamics that help in maintaining diversity in distributed GP. %@ 3-540-21523-9

@inproceedings{tomassini:2003:EA, abstract = {using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable genotypic and phenotypic diversity measures, we apply them to three standard test problems. The experimental results indicate that using multiple populations helps in maintaining phenotypic diversity. We hypothesise that this could be one of the reasons for the better performance observed for distributed GP with respect to panmictic GP. Finally, we trace a sort of history of the optimum individual for a set of distributed GP runs, trying to understand the dynamics that help in maintaining diversity in distributed GP.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {Marseilles, France}, author = {Tomassini, Marco and Vanneschi, Leonardo and Fernandez, Francisco and Galeano, German}, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {https://www.bibsonomy.org/bibtex/2340b0ac35946664e5c7e800268e68257/brazovayeye}, booktitle = {Evolution Artificielle, 6th International Conference}, doi = {doi:10.1007/b96080}, editor = {Liardet, Pierre and Collet, Pierre and Fonlupt, Cyril and Lutton, Evelyne and Schoenauer, Marc}, interhash = {86442c216a367d126a6ef1b85d2fdde0}, intrahash = {340b0ac35946664e5c7e800268e68257}, isbn = {3-540-21523-9}, keywords = {Artificial Evolution algorithms, genetic programming,}, month = {27-30 October}, note = {Revised Selected Papers}, notes = {EA'03}, pages = {243--255}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, size = {13 pages}, timestamp = {2008-06-19T17:53:11.000+0200}, title = {A Study of Diversity in Multipopulation Genetic Programming}, url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2936&spage=243}, volume = 2936, year = 2003 }