OPTIMIZATION BY USING EVOLUTIONARY ALGORITHMS WITH GENETIC ACQUISITIONS
George Mateescu ()
Journal for Economic Forecasting, 2005, vol. 2, issue 2, 26-30
Abstract:
Evolutionary algorithms represent a powerful tool for a wide set of problems, based on biological principles. The main goal of this article is to underline the principle of genetic acquisitions. To do this, we will use mutations with respect to the gradient of an objective function.
Keywords: optimization; evolutionary algorithms; gradient (search for similar items in EconPapers)
JEL-codes: C61 C63 (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (1)
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:rjr:romjef:v:2:y:2005:i:2:p:26-30
Access Statistics for this article
Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman
More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).