Title:

Ant Colony Optimisation: From Biological Inspiration to an Algorithmic Framework

Author(s):
Publication Year:
2006
Abstract:

This report outlines the biological inspiration behind the development of the first ant-inspired algorithms. The report then identifies two of these ant-inspired algorithms, their relation to the biological models and offers a contrast and comparison between them. Finally the report describes and analyses the ACO meta-heuristic framework to which a subset of ant-inspired algorithms belong. The Sahara and Namib deserts are two of the most unforgiving environments on our planet, yet two species of ants: the cataglyphis and ocymyrmex have evolved to fill this unique ecological niche.

Place:
Melbourne, Australia
Publisher:
Centre for Intelligent Systems and Complex Processes Faculty of Information and Communication Technologies Swinburne University of Technology
Number:
TR013
Type:
Technical Report
Item Type:
Report
Language:
en

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