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|a 9783319513881
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|a 10.1007/978-3-319-51388-1
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|a Byrski, Aleksander.
|e author.
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|4 http://id.loc.gov/vocabulary/relators/aut
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|a Evolutionary Multi-Agent Systems
|h [electronic resource] :
|b From Inspirations to Applications /
|c by Aleksander Byrski, Marek Kisiel-Dorohinicki.
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250 |
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|a 1st ed. 2017.
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264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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300 |
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|a XIV, 210 p. 77 illus.
|b online resource.
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 680
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|a Springer eBook Collection
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|a Preface -- Part I Concept and formal model: Contemporary methods of computational intelligence -- Agent-based computing -- Formal aspects of agent-based metaheuristics -- Part II Design and implementation: Agent-based and component inspirations -- Implementation aspects of agent-based computing systems -- AgE Computing Environment -- Part III Experimental results: EMAS in optimization problems -- Tuning of EMAS parameters -- Final remarks -- References.
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|a This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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650 |
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|a Computational intelligence.
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|a Artificial intelligence.
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650 |
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|a Algorithms.
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690 |
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|a Electronic resources (E-books)
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|a Kisiel-Dorohinicki, Marek.
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