Ant-like agents for load balancing in telecommunications networks

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Ant-like agents for load balancing in telecommunications networks

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International Conference on Autonomous Agents archive
Proceedings of the first international conference on Autonomous agents table of contents

Marina del Rey, California, United States

Pages: 209 - 216

Year of Publication: 1997

ISBN:0-89791-877-0

Authors

Ruud Schoonderwoerd	Hewlett-Packard Laboratories Bristol, Filton Road, Stoke Gifford, Bristol BS12 6QZ, United Kingdom, and Delft University of Technology, Julianalaan 132, 2628 BL Delft, The Netherlands
Owen Holland	University of the West of England, Coldharbour Lane, Bristol BS16 IQY, United Kingdom
Janet Bruten	Hewlett-Packard Laboratories Bristol, Filton Road, Stoke Gifford, Bristol BS12 6QZ, United Kingdom

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 8, Downloads (12 Months): 62, Citation Count: 22

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Appleby, S., and Steward, S. 1994. Mobile software agents for control in telecommunications networks, BT Technology Journal, Vol. 12, No.2.
	2	Beckers, R.; Deneubourg, J.L.; and Goss, S. 1992. Trails and U- turns in the Selection of a Path by the Ant Lasius Niger. J. theor. Biol. 159, 397-415.
	3	Beckers, R.; Deneubourg, J.L.; and Goss, S. 1993. Modulation of trail laying in the ant Lasius Niger and its role in the collective selection of a food source. J. Ins. Behav. (in press)
	4	Beckers, R.; Holland, O.E.; and Deneubourg, J.L. 1994. From local actions to global tasks: Stigmergy and Collective Robotics. In R.A. Brooks, & P. Maes (Eds.) Artificial Life IV, Cambridge, MIT Press.
	5	Deneubourg, J.L.; and Goss, S. 1989. Collective patterns and decision-making. Ethology, Ecology & Evolution i, 295-311.
	6	J. L. Deneubourg , S. Goss , N. Franks , A. Sendova-Franks , C. Detrain , L. Chrétien, The dynamics of collective sorting robot-like ants and ant-like robots, Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats, p.356-363, February 1991, Paris, France
	7	Dijkstra, E.W. 1959. A Note on Two Problems in Connexion with Graphs. Numerische Mathematik vol, 1.
	8	Dorigo, M.; Maniezzo, V.; and Colorni, A. 1996. The Ant System: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics Part B, Vol. 26, No. 1, 1- 13.
	9	Franks, N.R. 1989. Army Ants: A Collective intelligence. American Scientist, Volume 77, March-April.
	10	Goss. S.; Beckers, R.; Deneubourg, J.L.; Aron, S.; and Pasteels, J.M. 1990. How trail-laying and trail following can solve foraging problems for ant colonies. R.N. Hughes (Ed.) NATO AS i Series, Vol. G20 Behavioral mechanisms of food selection, Springer Vetlag.
	11	Grass6, P.P. 1959. La reconstruction du nid et les coordinations inter-individuelles chez Bellicositermes natalensis et Cubitermes sp. La theorie de la stigmergie: Essai d'interpretation des termites constmcteurs. Ins. Soc., 6, 41-83.
	12	Gambardella, L.M.; and Dorigo, M. 1995. Ant-Q: A Reinforcement Learning approach to the traveling salesman problem. Proc. of ML-95, 12th Int. Conf. on Machine Learning, Morgan Kaufmann, 252-260.
	13	Halldobler, B.; and Wilson, E.O. 1994. Journey to the Ants. Belknap Press / Harvard University Press.
	14	Schoonderwoerd, R. 1996. Collective Intelligence for Network Control. Ir.-thesis, Delft University of Technology, Faculty of Technical Informatics.
	15	Richard S. Sutton, Reinforcement learning architectures for animats, Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats, p.288-296, February 1991, Paris, France
	16	Wilson, E.O. 1975. Sociobiology, Belknap Press / Harvard University Press.

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	Kaizar A. Amin , Armin R. Mikler , Venkatesan Iyengar Prasanna, Dynamic agent population in agent-based distance vector routing, Neural, Parallel & Scientific Computations, v.11 n.1 & 2, p.127-142, March 2003
	Urszula Boryczka , Mariusz Boryczka, Multi-cast ant colony system for the bus routing problem, Metaheuristics: computer decision-making, Kluwer Academic Publishers, Norwell, MA, 2004
	Vincent A. Cicirello , Stephen F. Smith, Wasp nests for self-configurable factories, Proceedings of the fifth international conference on Autonomous agents, p.473-480, May 2001, Montreal, Quebec, Canada
	Kaizar A. Amin , Armin R. Mikler, Agent-based distance vector routing: a resource efficient and scalable approach to routing in large communication networks, Journal of Systems and Software, v.71 n.3, p.215-227, May 2004
	Kaizar A. Amin , Armin R. Mikler, Dynamic agent population in agent-based distance vector routing, Second international workshop on Intelligent systems design and application, p.195-200, August 07-08, 2002, Atlanta, Georgia
	Wenyu Qu , Hong Shen , John Sum, New analysis on mobile agents based network routing, Design and application of hybrid intelligent systems, IOS Press, Amsterdam, The Netherlands, 2003
	Nicholas R. Jennings , Katia Sycara , Michael Wooldridge, A Roadmap of Agent Research and Development, Autonomous Agents and Multi-Agent Systems, v.1 n.1, p.7-38, 1998
	Son Hong Ngo , Xiaohong Jiang , Vinh Trong Le , Susumu Horiguchi, Ant-based survivable routing in dynamic WDM networks with shared backup paths, The Journal of Supercomputing, v.36 n.3, p.297-307, June 2006
	Horst F. Wedde , Muddassar Farooq, A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks, Journal of Systems Architecture: the EUROMICRO Journal, v.52 n.8, p.461-484, August 2006
	A. L. G. Hayzelden , J. Bigham , S. J. Poslad , P. Buckle , E. H. Mamdani, Communications Systems Driven by Software Agent Technology, Journal of Network and Systems Management, v.8 n.3, p.321-347, September 2000
	Marco Dorigo , Gianni Di Caro , Luca M. Gambardella, Ant algorithms for discrete optimization, Artificial Life, v.5 n.2, p.137-172, April 1999
	S. S. Dhillon , P. Van Mieghem, Performance analysis of the AntNet algorithm, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.51 n.8, p.2104-2125, June, 2007
	Alex L. G. Hayzelden , John Bigham, Agent technology in communications systems: an overview, The Knowledge Engineering Review, v.14 n.4, p.341-375, December 1999
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	Laura Rosati , Matteo Berioli , Gianluca Reali, On ant routing algorithms in ad hoc networks with critical connectivity, Ad Hoc Networks, v.6 n.6, p.827-859, August, 2008
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	Gianni Di Caro , Marco Dorigo, AntNet: distributed stigmergetic control for communications networks, Journal of Artificial Intelligence Research, v.9 n.1, p.317-365, August 1998
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