Title :
Comparison of different cooperation strategies in the prey-predator problem
Author :
GesÙ, V. Di ; Lenzitti, B. ; Bosco, T. Lo ; Tegolo, D.
Author_Institution :
Univ. di Palermo, Palermo
Abstract :
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.
Keywords :
genetic algorithms; particle swarm optimisation; predator-prey systems; genetic algorithm; particle swam optimization algorithm; prey-predator problem; Collaboration; Computer architecture; Context modeling; Cooperative systems; Evolutionary computation; Genetic algorithms; Optimization methods; Pareto analysis; Particle swarm optimization; System testing;
Conference_Titel :
Computer Architecture for Machine Perception and Sensing, 2006. CAMP 2006. International Workshop on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0685-2
Electronic_ISBN :
978-1-4244-0686-9
DOI :
10.1109/CAMP.2007.4350364
