Particle swarm optimization
Particle Swarm Optimization (PSO) is an optimization method in which multiple candidate solutions migrate through the solution space. PSO does not require that the objective function be differentiable. The method should be applied to one or more of the 'well-known' optimization test cases e. g. the Rosenbrock ('banana') function.
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