Immediate transference of global improvements to all individuals in a population in Genetic Programming compared to Automatically Defined Functions for the EVEN-5 PARITY problem

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{aler:1998:5parity,

• author = "Ricardo Aler",
• title = "Immediate transference of global improvements to all individuals in a population in Genetic Programming compared to Automatically Defined Functions for the EVEN-5 PARITY problem",
• booktitle = "Proceedings of the First European Workshop on Genetic Programming",
• year = "1998",
• editor = "Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty",
• volume = "1391",
• series = "LNCS",
• pages = "60--70",
• address = "Paris",
• publisher_address = "Berlin",
• month = "14-15 " # apr,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-64360-5",
• DOI = "doi:10.1007/BFb0055928",
• abstract = "Koza has shown how automatically defined functions (ADFs) can reduce computational effort in the GP paradigm. In Koza's ADF, as well as in standard GP, an improvement in a part of a program (an ADF or a main body) can only be transferred via crossover. In this article, we consider whether it is a good idea to transfer immediately improvements found by a single individual to the whole population. A system that implements this idea has been proposed and tested for the EVEN-5-PARITY and EVEN-6-PARITY problems. Results are very encouraging: computational effort is reduced (compared to Koza's ADFs) and the system seems to be less prone to early stagnation. Finally, our work suggests further research where less extreme approaches to our idea could be tested.",
• notes = "EuroGP'98",
• affiliation = "Universidad Carlos III de Madrid Butarque 15 28911 Leganes Madrid Espana Butarque 15 28911 Leganes Madrid Espana",

}

Genetic Programming entries for Ricardo Aler Mur

Citations