Genetic Programming

Riccardo Poli () and John Koza ()
Additional contact information
Riccardo Poli: University of Essex
John Koza: Stanford University

Chapter Chapter 6 in Search Methodologies, 2014, pp 143-185 from Springer

Abstract: Abstract The goal of getting computers to automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called machine intelligence (Turing 1948, 1950).

Keywords: Genetic Programming; Fitness Measure; Genetic Operation; Preparatory Step; Program Size (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (2)

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:sprchp:978-1-4614-6940-7_6

Ordering information: This item can be ordered from
http://www.springer.com/9781461469407

DOI: 10.1007/978-1-4614-6940-7_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().