作者: Micael Couceiro , Pedram Ghamisi , Micael Couceiro , Pedram Ghamisi , None
DOI: 10.1007/978-3-319-19635-0_5
关键词:
摘要: The navigation of groups robots, especially multirobot systems (MRS) or even swarm has been one the fields that benefited from biological inspiration (Bonabeau et al., Proceedings 2000 IEEE International Conference on Robotics, 1999). As with many other things in robotics, advances were first introduced and evaluated context computer agents. One applications those methods started optimization tools well-known particle (PSO) previously mentioned. In this chapter, we try to go a step forward by adapting version FODPSO MRS, denoting it robotic DPSO (RDPSO). Any PSO variant could be adapted MRS exploration. However, was chosen because is an evolutionary algorithm extends using natural selection enhance ability escape suboptimal solutions employs fractional calculus improve convergence particles.