EconPapers    
Economics at your fingertips  
 

Genetic Programming

William B. Langdon (), Robert I. McKay () and Lee Spector ()
Additional contact information
William B. Langdon: University College London
Robert I. McKay: Seoul National University
Lee Spector: Hampshire College

Chapter Chapter 7 in Handbook of Metaheuristics, 2010, pp 185-225 from Springer

Abstract: Abstract Welcome to genetic programming, where the forces of nature are used to automatically evolve computer programs. We give a flavour of where GP has been successfully applied (it is far too wide an area to cover everything) and interesting current and future research but start with a tutorial of how to get started and finish with common pitfalls to avoid.

Keywords: Search Space; Fitness Function; Genetic Programming; Parse Tree; Tournament Selection (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-1665-5_7

Ordering information: This item can be ordered from
http://www.springer.com/9781441916655

DOI: 10.1007/978-1-4419-1665-5_7

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4419-1665-5_7