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The document discusses the limitations of classic cellular automata (CA) models and introduces particle swarm optimization (PSO) as a method for global function optimization. It explains the transition from discrete to continuous models, the properties of optimization problems, and the concepts of global and local optimality. PSO is presented as a multi-agent system inspired by social behaviors, where agents (particles) collaborate to find optimal solutions in a search space.

Author

Trường Thành Nguyễn

Language

EN