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A multi-swarm particle swarm optimization with orthogonal learning for locating and tracking multiple optimization in dynamic environments.

Ruochen LiuXu NiuLicheng JiaoJingjing Ma
Published in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
  • dynamic environments
  • particle swarm optimization
  • autonomous agents
  • multi swarm
  • mobile robot
  • real time
  • image sequences
  • pso algorithm
  • reinforcement learning agents
  • tracking multiple