Swarm Ant Colony Models to Control Flows in Intellectual Systems

Abstract

It is considered the application of Swarm intelligence ant colony models to project complex intellectual systems. The boids behavior is to some extent similar to flows in energy supply (on transport) systems as subject field. There were proposed some improved ways to resolve dynamical tasks with indefiniteness with higher computational speed and better convergence of algorithms, that is confirmed by comparision of various schemes. Because of invariantness of the components and possibility to describe practically all of systems in flow model, it looks applicable in other spheres also. ACO algorithms can be used as a tool for high-level logical reasoning and optimization, regardless of the specific underlying hardware.