Title :
Ant Colony Algorithm for Swarm Systems
Author :
Hernandez, V.S. ; Weitzenfeld, Alfredo
Abstract :
The paper presents a swarm model inspired in ant colonies where ants perform different tasks. The model emphasizes explorer and worker ants responsible for food search and bringing food back to the nest, respectively. The model is based on ACO - ant colony optimization providing a shortest path algorithm during route exploration. Results from ant colony model simulations are presented and contrasted
Keywords :
optimisation; ant colony algorithm; behavior modeling; food search; multiagent systems; shortest path algorithm; swarm systems; Ant colony optimization; Bridges; Insects; Multiagent systems; Particle swarm optimization; Performance analysis; Problem-solving; Routing; Scalability; Traveling salesman problems; Ant colony; behavior modeling; multi-agent systems;
Conference_Titel :
Robotics Symposium, 2006. LARS '06. IEEE 3rd Latin American
Conference_Location :
Santiago
Print_ISBN :
1-4244-0537-8
Electronic_ISBN :
1-4244-0537-8
DOI :
10.1109/LARS.2006.334335
