Particle swarm optimization: Difference between revisions

The goal of parameter selection is to ensure that the global minimum is discriminated from any local minima, and that the minimum is accurately determined, and that convergence is achieved with acceptible resource usage. To provide a common basis for comparing implementations, the following test cases and parameter sets are recommended:

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recommended parameters:

omega = 0, phi p = 0.6, phi g = 0.3, number of particles = 100, number of iterations = 40 </li>

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