Agent-based evolutionary search

The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features which are beyond the scope of traditional evolutionary process and learning. This book presents the state-of-the art in the theory and practice...

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Bibliografiset tiedot
Muut tekijät: Sarker, Ruhul A. (Päätoimittaja), Ray, Tapabrata (Päätoimittaja)
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Painos:1st ed. 2010.
Sarja:Adaptation, Learning, and Optimization 5
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Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Agent-Based Evolutionary Search, Texte imprimé, 9783642134241
• Agent-Based Evolutionary Search, Texte imprimé, 9783642263682
• Agent-Based Evolutionary Search, Texte imprimé, 9783642134265
Kuvaus
Yhteenveto:The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features which are beyond the scope of traditional evolutionary process and learning. This book presents the state-of-the art in the theory and practice of Agent Based Evolutionary Search and aims to increase the awareness on this effective technology. This includes novel frameworks, a convergence and complexity analysis, as well as real-world applications of Agent Based Evolutionary Search, a design of multi-agent architectures and a design of agent communication and learning Strategy.
Huomautukset:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642134258
ISSN:1867-4542
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017