More on Computational Effort Statistics for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{niehaus03,

• author = "Jens Niehaus and Wolfgang Banzhaf",
• title = "More on Computational Effort Statistics for Genetic Programming",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
• year = "2003",
• editor = "Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa",
• volume = "2610",
• series = "LNCS",
• pages = "164--172",
• address = "Essex",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-00971-X",
• DOI = "doi:10.1007/3-540-36599-0_15",
• abstract = "In this contribution we take a look at the computational effort statistics as described by KOZA. We transfer the notion from generational genetic programming to tournament-selection (steady-state) GP and show why, in both cases, the measured value of the effort often differs from its theoretical counterpart. It is discussed how systematic estimation errors are introduced by a low number of experiments. Two reasons examined are the number of unsuccessful experiments and the variation in the number of fitness evaluations necessary to find a solution among the successful experiments.",
• notes = "EuroGP'2003 held in conjunction with EvoWorkshops 2003",

}

Genetic Programming entries for Jens Niehaus Wolfgang Banzhaf

Citations