qat.plugins.PSOMinimizePlugin
- class qat.plugins.PSOMinimizePlugin(x0=None, collective=False, binding_args=None, **kwargs)
A variational minimizer based on the Particle Swarm Optimization (PSO) algorithm.
It is a particularization of the
Optimizerclass.- Parameters
x0 (optional, numpy.ndarray) – Initial position of one Particle. By default defined as an integer equal to the number of parameters to optimize.
binding_args (optional, dict) – arguments passed to the variable binding method
choose_inertia_function (str, optional) – method for picking the inertia weights. It may be ‘constant’, ‘random’, ‘linearly_decreasing’ (default), ‘chaotic_random’.
name_method_used (str, optional) – Kind of PSO to be used. It may be ‘PSO’ (default), ‘CLPSO’, ‘FDR_PSO’, ‘LIPS’, ‘HPSO_TVAC’.
max_iter (int, optional) – maximum number of iterations. Defaults to 10.
swarm_number (int, optional) – size of the swarm. Defaults to 10.
size_initial_vector_space (float, optional) – size of the hypercube. Defaults to 1.
inertia_kwargs (float, optional) – depending on the inertia_function used. See class Inertia_weight for more details.