Comparative analysis of swarm intelligence algorithms for multi-agent systems coordination

Abstract

This study aims to describe the most commonly used swarm intelligence algorithms: particle swarm optimization method, ant colony optimization algorithm and bee colony optimization algorithm. The principal features of swarm intelligence algorithms that allow their usage for robotic technology systems design were considered. The algorithms operating principles were described and illustrated by block diagrams. In addition, the main pros and cons of each algorithm were reported. A comparative analysis of the algorithms with the description of their main advantages and application fields was done.This study aims to describe the most commonly used swarm intelligence algorithms: particle swarm optimization method, ant colony optimization algorithm and bee colony optimization algorithm. The principal features of swarm intelligence algorithms that allow their usage for robotic technology systems design were considered. The algorithms operating principles were described and illustrated by block diagrams. In addition, the main pros and cons of each algorithm were reported. A comparative analysis of the algorithms with the description of their main advantages and application fields was done.