Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InCollection{collet:2007:nicem,

• author = "Pierre Collet",
• title = "Genetic Programming",
• booktitle = "Handbook of Research on Nature-Inspired Computing for Economics and Management",
• editor = "Jean-Philippe Rennard",
• publisher = "Idea Group Inc.",
• year = "2007",
• volume = "I",
• chapter = "V",
• pages = "59--73",
• address = "1200 E. Colton Ave",
• keywords = "genetic algorithms, genetic programming, GP-std/same, homologous crossover, interval arithmetic, problem dependence, over fitting and bloat",
• ISBN = "1-59140-984-5",
• DOI = "doi:10.4018/978-1-59140-984-7.ch005",
• abstract = "The aim of genetic programming is to evolve programs or functions (symbolic regression) thanks to artificial evolution. This technique is now mature and can routinely yield results on par with (or even better than) human intelligence. This chapter sums up the basics of genetic programming and outlines the main subtleties one should be aware of in order to obtain good results.",
• size = "15 pages",

}

Genetic Programming entries for Pierre Collet

Citations