Particle swarm optimization
J Kennedy, R Eberhart - Proceedings of ICNN'95-international …, 1995 - ieeexplore.ieee.org
J Kennedy, R Eberhart
Proceedings of ICNN'95-international conference on neural networks, 1995•ieeexplore.ieee.orgA concept for the optimization of nonlinear functions using particle swarm methodology is
introduced. The evolution of several paradigms is outlined, and an implementation of one of
the paradigms is discussed. Benchmark testing of the paradigm is described, and
applications, including nonlinear function optimization and neural network training, are
proposed. The relationships between particle swarm optimization and both artificial life and
genetic algorithms are described.
introduced. The evolution of several paradigms is outlined, and an implementation of one of
the paradigms is discussed. Benchmark testing of the paradigm is described, and
applications, including nonlinear function optimization and neural network training, are
proposed. The relationships between particle swarm optimization and both artificial life and
genetic algorithms are described.
A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.
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