Nature-inspired optimisation methods: the ant algorithm.

Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/2151

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DC Field	Value	Language
dc.contributor.author	Bello, O. A.	-
dc.contributor.author	Ayeni, R. O.	-
dc.contributor.author	Fakolujo, O. A.	-
dc.date.accessioned	2018-10-12T08:01:09Z	-
dc.date.available	2018-10-12T08:01:09Z	-
dc.date.issued	2008	-
dc.identifier.issn	2006-1064	-
dc.identifier.other	International Journal of Physical Sciences 3(2), pp. 77-84	-
dc.identifier.other	ui_art_bello_nature-inspired_2008	-
dc.identifier.uri	http://ir.library.ui.edu.ng/handle/123456789/2151	-
dc.description.abstract	Nature has inspired many optimization techniques/ methods. This paper is directed to introduce some of these methods to the reader and emphasis was laid on the ant algorithm by discussing its properties and what it entails. Also some of the problems that ant algorism has been used to solve was listed while two of them were discussed in full,the TSP which the writer worked on and network routing	en_US
dc.language.iso	en_US	en_US
dc.publisher	Duncan Science Company	en_US
dc.subject	Optimization Problem,	en_US
dc.subject	Pheromone,	en_US
dc.subject	Positive Feedback,	en_US
dc.subject	Negative Feedback	en_US
dc.title	Nature-inspired optimisation methods: the ant algorithm.	en_US
dc.type	Article	en_US
Appears in Collections:	scholarly works

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