6533b82efe1ef96bd12927c0
RESEARCH PRODUCT
Comparison of different cooperation strategies in the prey-predator problem
Vito Di Gesu'Biagio LenzittiGiosue' Lo BoscoDomenico Tegolosubject
Cooperation strategieParticle Swam optimizationPrey-predatorSettore INF/01 - Informaticaoptimiz ation problemHomogeneous agentInternational (CO)Machine perceptionParticle swarm optimization methoddescription
The paper describes two cooperating strategies among several homogeneous agents to reach a given target. In our case we used the prey-predators paradigm in which a set of agents (predators) have the purpose to reach a target (prey). The problem is addressed as an optimization problem that has been faced with two different algorithms (a genetic algorithm and a particle swam optimization algorithm). The two approaches are evaluated by using a simulator for each strategy and the results show that the strategies are very different in terms of prey-predator successes. Genetic algorithm can be used by the prey to solve at the best the problem to reach the lair, otherwise the Particle Swarm Optimization method allows the predator to reach a target in a fast way.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-09-01 | 2006 International Workshop on Computer Architecture for Machine Perception and Sensing |