A New Optimizer Using Particle Swarm Theory - Micro Machine and Human Science, 1995. MHS '95., Proceedings of the Sixth International Symposium

نویسندگان

  • Russell Eberhart
  • James Kennedy
چکیده

The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark testing of both paradigms is described, and applications, including neural network training and robot task learning, are proposed. Relationships between particle swarm optimization and both artificial life and evolutionary computation are reviewed.

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تاریخ انتشار 2004