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Titlebook: Evolutionary Multi-Agent Systems; From Inspirations to Aleksander Byrski,Marek Kisiel-Dorohinicki Book 2017 Springer International Publishi

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發(fā)表于 2025-3-21 16:39:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary Multi-Agent Systems
副標(biāo)題From Inspirations to
編輯Aleksander Byrski,Marek Kisiel-Dorohinicki
視頻videohttp://file.papertrans.cn/318/317975/317975.mp4
概述Includes a full formal analysis of evolutionary multi-agent systems (EMAS).Provides a literature review and explores the motivation and definition of the systems considered.Explains the design and imp
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Evolutionary Multi-Agent Systems; From Inspirations to Aleksander Byrski,Marek Kisiel-Dorohinicki Book 2017 Springer International Publishi
描述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..
出版日期Book 2017
關(guān)鍵詞Multi-Agent Systems Book; Query Optimization; Evolutionary Multi-Agent Systems Applications; EMAS; Intel
版次1
doihttps://doi.org/10.1007/978-3-319-51388-1
isbn_softcover978-3-319-84637-8
isbn_ebook978-3-319-51388-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:19:28 | 只看該作者
https://doi.org/10.1007/978-3-319-51388-1Multi-Agent Systems Book; Query Optimization; Evolutionary Multi-Agent Systems Applications; EMAS; Intel
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發(fā)表于 2025-3-22 01:15:40 | 只看該作者
978-3-319-84637-8Springer International Publishing AG 2017
地板
發(fā)表于 2025-3-22 04:48:19 | 只看該作者
Evolutionary Multi-Agent Systems978-3-319-51388-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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發(fā)表于 2025-3-22 10:41:30 | 只看該作者
https://doi.org/10.1007/978-1-4614-0644-0es, utilizing different nature-oriented, physical or social inspirations. Such algorithms are very often characterized as belonging to of . methods [104, 251], because of its broad applications possibilities and potential adaptation capabilities.
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發(fā)表于 2025-3-22 13:59:20 | 只看該作者
Munish Jindal,Payal Garg,Kiran Soodsearch problems (see, e.g. [44–47, 92, 263] to point out a few). However, in order to make sure that such a complex tool may be useful, both formal analysis and experimental verification should be conducted.
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發(fā)表于 2025-3-22 20:03:41 | 只看該作者
MicroRNA Biogenesis and Function,lopment and execution of distributed agent-based applications—mainly simulation and computational systems. The most advanced version of the environment was developed using Java (jAgE), but there were also many additional prototype environments realized e.g. based on .NET, Python, Scala, Erlang and Haskell.
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發(fā)表于 2025-3-22 21:36:48 | 只看該作者
Contemporary Methods of Computational Intelligencees, utilizing different nature-oriented, physical or social inspirations. Such algorithms are very often characterized as belonging to of . methods [104, 251], because of its broad applications possibilities and potential adaptation capabilities.
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發(fā)表于 2025-3-23 02:41:31 | 只看該作者
Formal Aspects of Agent-Based Metaheuristicssearch problems (see, e.g. [44–47, 92, 263] to point out a few). However, in order to make sure that such a complex tool may be useful, both formal analysis and experimental verification should be conducted.
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發(fā)表于 2025-3-23 09:11:00 | 只看該作者
AgE Computing Environmentlopment and execution of distributed agent-based applications—mainly simulation and computational systems. The most advanced version of the environment was developed using Java (jAgE), but there were also many additional prototype environments realized e.g. based on .NET, Python, Scala, Erlang and Haskell.
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