Dynamical Search and Guidance of Swarm Rotors with Particle Swarm Optimization Algorithm(I)

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details


This is a three-year term project, where the particle swarm optimization (PSO) algorithm is utilized for swarm-robot systems. The goals of this project include swarm single/multiple searching, cooperative movement, and dynamic searching and guidance. The topics of concern consist of the study of swarm theory, mobile robot design and implementation, static/dynamic target searching and guidance. In the swarm theory, not only the simple PSO algorithm will be discussed, but also a randomly searching mechanism will be introduced to avoid premature convergence in local optima in a dynamical varying environment. Stochastic adaptive PSO has the advantages that few parameters are required to be tuned and the re-searching ability is significantly improved. To evaluate the feasibility of the proposed distributed control scheme, a self-design and –implement swarm robot system will be discussed. It is optimistic to see that that the research results will make progress for the intelligent evolutionary computation.

Project IDs

Project ID:PB9709-4331
External Project ID:NSC97-2221-E182-026
Effective start/end date01/08/0831/07/09


  • Particle Swarm Optimization Algorithm
  • Evolutionary Computation
  • Swarm Robot
  • Distribute Control
  • Dynamic Environment


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