Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/70999
Citations | ||
Scopus | Web of ScienceĀ® | Altmetric |
---|---|---|
?
|
?
|
Type: | Book chapter |
Title: | Evolutionary Algorithms |
Author: | Michalewicz, Z. Schoenauer, M. |
Citation: | Wiley Encyclopedia of Operations Research and Management Science, 2011 / Conchran, J., Cox, L., Keskinocak, P., Kharoufeh, J., Cole Smith, J. (ed./s), pp.1-13 |
Publisher: | Wiley |
Publisher Place: | United States |
Issue Date: | 2011 |
ISBN: | 9780470400630 |
Editor: | Conchran, J. Cox, L. Keskinocak, P. Kharoufeh, J. Cole Smith, J. |
Statement of Responsibility: | Zbigniew Michalewicz and Marc Schoenauer |
Abstract: | This article broadly introduces evolutionary algorithms and discusses the current trends, both in a historical perspective and with respect to practical outcomes. It then quickly surveys theoretical results and main domains of applications. |
Keywords: | Evolutionary computation evolutionary algorithm genetic algorithm genetic programming evolution strategy |
DOI: | 10.1002/9780470400531.eorms0308 |
Description (link): | http://trove.nla.gov.au/work/38158328 |
Published version: | http://dx.doi.org/10.1002/9780470400531.eorms0308 |
Appears in Collections: | Aurora harvest Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.