Handling Dynamic Networks Using Ant Colony Optimization on a Distributed Architecture

Authors:
Sorin Ilie;Costin Badica
Affiliations:
Software Engineering Department, University of Craiova, Romania;Software Engineering Department, University of Craiova, Romania
Venue:
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Year:
2009

Citing 7
Cited 0

MAX-MIN Ant system

Future Generation Computer Systems
Introduction to Multiagent Systems

Introduction to Multiagent Systems
Multi Colony Ant Algorithms

Journal of Heuristics
Ant Colony Optimization

Ant Colony Optimization
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)

Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Handling Dynamic Networks Using Evolution in Ant-Colony Optimization

IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Ant colony system: a cooperative learning approach to the traveling salesman problem

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Nowadays organizations are willing to share and cooperate in building better services and products. A distributed framework is needed to support these current trends. An ant colony metaphor is a great source of inspiration to build such a framework. This paper proposes a study of Ant Colony Optimization on handling dynamic networks. The novelty of our work consists in using a multi-agent architecture to model the dynamic network and artificial intelligence to decide on the type of ants needed. Our approach allows greater flexibility in adapting to network changes.