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• W2971543996 abstract "We apply two evolutionary search algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) to the design of Cellular Automata (CA) that can perform computational tasks requiring global coordination. In particular, we compare search efficiency for PSO and GAs applied to both the density classification problem and to the novel generation of 'chaotic' CA. Our work furthermore introduces a new variant of PSO, the Binary Global-Local PSO (BGL-PSO)." @default.
• W2971543996 created "2019-09-12" @default.
• W2971543996 creator A5006420870 @default.
• W2971543996 date "2019-09-08" @default.
• W2971543996 modified "2023-09-27" @default.
• W2971543996 title "Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata" @default.
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• W2971543996 hasPublicationYear "2019" @default.
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