JADE-based distributed Ant Colony Optimization on a computer cluster

In this paper we present the initial experimental results that we obtained with deploying our distributed agent-based system for Ant Colony Optimization (ACODA) on a computer cluster. The novelty of ACODA consists in agent-based modeling and distribution of the problem environment that is explored by the ants to determine an optimal solution. The effect of this approach is that ants´ migration is reduced to asynchronous messages exchanged between the agents that compose the problem environment. The deployment of ACODA on a computer cluster benefits from an automated setup that simplifies the installation and configuration of the necessary software packages.