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Evolutionary Multi-Agent Systems

From Inspirations to Applications
Buch | Hardcover
XIV, 210 Seiten
2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-51387-4 (ISBN)

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Evolutionary Multi-Agent Systems - Aleksander Byrski, Marek Kisiel-Dorohinicki
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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.

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.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XIV, 210 p. 77 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Algorithm analysis and problem complexity • algorithms and data structures • Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • EMAS • Engineering • Engineering: general • Evolutionary Multi-Agent Systems Applications • Intelligent Systems • Multi-Agent Systems Book • query optimization • Robotics
ISBN-10 3-319-51387-7 / 3319513877
ISBN-13 978-3-319-51387-4 / 9783319513874
Zustand Neuware
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