DocumentCode
1635282
Title
The effect of routing under local information using a social insect metaphor
Author
Liang, Suihong ; Zincir-Heywood, A. Nur ; Heywood, Malcolm I.
Author_Institution
Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1438
Lastpage
1443
Abstract
Although adaptive and heuristic approaches perform well under idealized conditions to the packet network routing problem, such algorithms are also dependent on global information that is not available under real-world conditions. This work benchmarks routing under local information conditions using the AntNet algorithm and makes recommendations regarding future approaches
Keywords
Internet; artificial life; evolutionary computation; telecommunication network routing; AntNet algorithm; Internet; adaptive approaches; global information; heuristic approaches; packet network routing problem; social insect metaphor; swarm intelligence; Computer errors; Computer networks; Computer science; Delay; Information systems; Insects; Intelligent networks; Quality of service; Routing protocols; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004454
Filename
1004454
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