A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments

To overcome local optima and enhance swarm diversity, this paper presents a novel multi-swarm hybrid Fly Optimization Algorithm -Particle Swarm Optimization algorithm for robot target searching

Hongwei Tang

2019

Scholarcy highlights

  • In unknown environments, multiple-robot cooperation for target searching is a hot and difficult issue
  • To overcome local optima and enhance swarm diversity, this paper presents a novel multi-swarm hybrid Fly Optimization Algorithm-Particle Swarm Optimization algorithm for robot target searching
  • All of the aspects mentioned above lead robots to the target without falling into local optima and allow the search mission to be performed more quickly
  • Several experiments in four parts are performed to verify the better performance of MFPSO
  • The experimental results show that the performance of MFPSO is much more significant than that of other current approaches
  • The authors thank the researcher Mr Dadgar for providing the “Robotic Target Searching Simulator” for free

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