Swarm intelligence is the collective behavior of self-organized agents. In this book, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of two space, population space and belief space including five knowledge sections: situational knowledge, normative knowledge, topographical knowledge, history knowledge, and domain knowledge. Several innovative paradigms are proposed that use the proposed cultural swarm for single objective optimization, constrained optimization, multiobjective optimization, and dynamic optimization.
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Swarm intelligence is the collective behavior of self-organized agents. In this book, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of two space, population space and belief space including five knowledge sections: situational knowledge, normative knowledge, topographical knowledge, history knowledge, and domain knowledge. Several innovative paradigms are proposed that use the proposed cultural swarm for single objective optimization, constrained optimization, multiobjective optimization, and dynamic optimization.
Moayed Daniel Daneshyari is currently a faculty at Elizabeth City State University in Elizabeth City, North Carolina. His area of research interests are in neural network, swarm intelligence, multiobjective optimization, chaotic dynamics, biological modeling, and robotics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Swarm intelligence is the collective behavior of self-organized agents. In this book, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of two space, population space and belief space including five knowledge sections: situational knowledge, normative knowledge, topographical knowledge, history knowledge, and domain knowledge. Several innovative paradigms are proposed that use the proposed cultural swarm for single objective optimization, constrained optimization, multiobjective optimization, and dynamic optimization. 288 pp. Englisch. N° de réf. du vendeur 9783659141348
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Swarm intelligence is the collective behavior of self-organized agents. In this book, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of two space, population space and belief space including five knowledge sections: situational knowledge, normative knowledge, topographical knowledge, history knowledge, and domain knowledge. Several innovative paradigms are proposed that use the proposed cultural swarm for single objective optimization, constrained optimization, multiobjective optimization, and dynamic optimization. N° de réf. du vendeur 9783659141348
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Daneshyari Moayed DanielMoayed Daniel Daneshyari is currently a faculty at Elizabeth City State University in Elizabeth City, North Carolina. His area of research interests are in neural network, swarm intelligence, multiobjective op. N° de réf. du vendeur 5134462
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. pp. 288. N° de réf. du vendeur 26128002496
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Etat : New. Print on Demand pp. 288 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131503647
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Swarm intelligence is the collective behavior of self-organized agents. In this book, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of two space, population space and belief space including five knowledge sections: situational knowledge, normative knowledge, topographical knowledge, history knowledge, and domain knowledge. Several innovative paradigms are proposed that use the proposed cultural swarm for single objective optimization, constrained optimization, multiobjective optimization, and dynamic optimization.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 288 pp. Englisch. N° de réf. du vendeur 9783659141348
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Cultural Swarms for Optimization | Constrained, Multiobjective and Dynamic Optimization | Moayed Daniel Daneshyari | Taschenbuch | 288 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659141348 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105336044
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