Using genetic algorithm to optimize autonomous and cooperative behaviors of multiple mobile robots system

Abstract

To exploit the advantages of a multiple mobile robots system, the robots must have some degree of autonomy and cooperation. However, autonomy and cooperation are contradictory to each other, which makes it difficult to optimize the control parameters of robot's behaviors manually. Genetic algorithms are used in the paper to solve this problem. By altering the weightings of the autonomy and cooperation measures, the robots can exhibit different "personalities", which is testified by a simulation experiment.