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

fYear

2006

Firstpage

108

Lastpage

112

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CAMP.2007.4350364

Filename

4350364