Genetic Programming Operators Applied to Genetic Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.7778

@InProceedings{vrajitoru:1999:GPOAGA,

• author = "Dana Vrajitoru",
• title = "Genetic Programming Operators Applied to Genetic Algorithms",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
• year = "1999",
• editor = "Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith",
• volume = "1",
• pages = "686--693",
• address = "Orlando, Florida, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "13-17 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming, classifier systems",
• ISBN = "1-55860-611-4",
• URL = "http://www.cs.iusb.edu/~danav/papers/GA-312.pdf",
• URL = "http://citeseer.ist.psu.edu/453750.html",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GA-312.ps.gz",
• abstract = "Like other learning paradigms, the performance of the genetic algorithms (GAs) is dependent on the parameter choice, on the problem representation, and on the fitness landscape. Accordingly, a GA can show good or weak results even when applied on the same problem. Following this idea, the crossover operator plays an important role, and its study is the object of the present paper. A mathematical analysis has led us to construct a new form of crossover operator inspired from genetic programming (GP) that we have already applied in field of information retrieval. In this paper we extend the previous results and compare the new operator with several known crossover operators under various experimental conditions",
• notes = "GECCO-99 A joint meeting of the eighth international conference on genetic algorithms (ICGA-99) and the fourth annual genetic programming conference (GP-99)",

}

Genetic Programming entries for Dana Vrajitoru

Citations