Random Generator Quality and GP Performance

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{meysenburg:1999:RGQGP,

• author = "Mark M. Meysenburg and James A. Foster",
• title = "Random Generator Quality and GP Performance",
• 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 = "2",
• pages = "1121--1126",
• address = "Orlando, Florida, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "13-17 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-55860-611-4",
• URL = "http://citeseer.ist.psu.edu/471279.html",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-416.pdf",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-416.ps",
• abstract = "In previous studies, the authors found that pseudo-random number generator (PRNG) quality had little effect on the performance of a simple genetic algorithm (GA). This paper extends our work to the area of genetic programming (GP). We examine the effect of PRNG quality on the performance of GP techniques. We detail a set of PRNGs which generate random numbers through various techniques, and a method for evaluating the quality of these PRNGs. We explain the application of detailed statistical analysis to the results of many individual GP runs, over a set of four GP test problems. We found no evidence to support the notion that higher quality PRNGs caused improved GP performance.",
• 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 Mark M Meysenburg James A Foster

Citations