Particle Swarm Optimization-Based Source Seeking

摘要: The task of locating a source based on the measurements signal emitted/emanating from it is called source-seeking problem. In past few years, there has been lot interest in deploying autonomous platforms for source-seeking. Some challenging issues with implementing are lack priori knowledge about distribution emitted and presence noise both environment on-board sensor measurements. This paper proposes planner swarm robots engaged seeking an electromagnetic source. navigation strategy Particle Swarm Optimization (PSO) which population-based stochastic optimization technique. An equivalence established between particles generated traditional PSO technique, mobile agents swarm. Since positions updated using algorithm, modifications required to implement algorithm real incorporate collision avoidance strategies. necessary robots, strategies adapt environments presented this paper. Our results also validated experimental testbed.