Genetic Algorithms

Kumara Sastry, David Goldberg and Graham Kendall
Additional contact information
Kumara Sastry: University of Illinois
David Goldberg: University of Illinois
Graham Kendall: University of Nottingham

Chapter Chapter 4 in Search Methodologies, 2005, pp 97-125 from Springer

Abstract: Abstract Genetic algorithms (GAs) are search methods based on principles of natural selection and genetics (Fraser, 1957; Bremermann, 1958; Holland, 1975). We start with a brief introduction to simple genetic algorithms and associated terminology.

Keywords: Genetic Algorithm; Evolutionary Computation; Memetic Algorithm; Simple Genetic Algorithm; Uniform Crossover (search for similar items in EconPapers)
Date: 2005
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:sprchp:978-0-387-28356-2_4

Ordering information: This item can be ordered from
http://www.springer.com/9780387283562

DOI: 10.1007/0-387-28356-0_4

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 ().