Particle Swarm Optimization (PSO) is a form of evolutionary optimization that has found widespread use throughout academia and process industries. Its suitability for optimizing complex, non-convex and discontinuous functions makes it a great choice for use in real-life processes. This video introduces PSO within the context of the Griffin AI Toolkit and demonstrates the powerful visualization tools provided to help users fully understand how their optimizing swarm is behaving.
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