Introduction to Multiagent Systems
Introduction to Multiagent Systems
Ant Colony Optimization
JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 03
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Ant colony intelligence in multi-agent dynamic manufacturing scheduling
Engineering Applications of Artificial Intelligence
A-Team Middleware on a Cluster
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
SASO '09 Proceedings of the 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems
An analysis of communication policies for homogeneous multi-colony ACO algorithms
Information Sciences: an International Journal
Multi-agent approach to distributed ant colony optimization
Science of Computer Programming
| Hi-index | 0.00 |
In this paper we discuss the experimental evaluation of an improved configuration of our recent framework ACODA (Ant Colony Optimization on a Distributed Architecture) for solving the Traveling Salesman Problem (TSP). ACODA is a novel multi-agent system architecture for distributed Ant Colony Optimization in a decentralized environment. This new configuration improves the execution time by allowing each software agent of ACODA to manage a part of the TSP map rather than a single map node. Experimental results support this claim of improved efficiency while showing that the scalability of the system is preserved.