NDLI: A Paradigm for Self-Organisation: New Inspiration from Ant Foraging Trails

Content Provider	IEEE Xplore Digital Library
Author	Jackson, Duncan E. Bicak, Mesude Holcombe, Mike
Copyright Year	2008
Abstract	Self-organised biological systems are robust, flexible and adaptive. They respond to changing conditions in a manner which is desirable in emerging computational systems. The problems solved by Pharaoh’s ants are analogous to those challenging modern computer science; specifically dynamic or continuous optimisation problems. Pharaoh’s ants utilise multiple chemical pheromones for communication (and memory) over divergent time scales. Furthermore, there is a division of labour between pathfinder scouts who persistently search for the optimal solution and generalised foragers who exploit the current best solution. This subtle balance means that multiple solutions can be maintained while an optimum is still sought, but alternative solutions are kept available. The remarkable sophistication of this self-organised ant foraging system clearly exhibits many desirable properties. The aim of our project is to take inspiration from these properties and deliver novel ant algorithms, which can apply to the problems of autonomic and autonomous systems.
Starting Page	86
Ending Page	94
File Size	336700
Page Count	9
File Format	PDF
ISBN	0769531407
DOI	10.1109/EASe.2008.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	Northern Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization x-machine pharaoh's ants Telecommunication computing Cultural differences Computer science autonomic system Evolution (biology) Biology computing Genetics Robustness Computer networks IP networks self-organisation
Content Type	Text
Resource Type	Article

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