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Evolutionary Multi-Agent Systems

From Inspirations to Applications

  • Book
  • © 2017

Overview

Authors:
  1. Aleksander Byrski

    1. Faculty of Computer Science, Electronics and Telecommunications, Department of Computer Science, AGH University of Science and Technology, Kraków, Poland

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  2. Marek Kisiel-Dorohinicki

    1. Faculty of Computer Science, Electronics and Telecommunications, Department of Computer Science, AGH University of Science and Technology, Kraków, Poland

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  • 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 implementation of the platforms supporting EMAS-like computations
  • Presents experimental results obtained by applying EMAS and some of its modifications to solve discrete and continuous problems
  • Explores the possibilities of adapting particular EMAS parameters to solve benchmarking problems of varying difficulty
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 680)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Concept and Formal Model

    1. Front Matter

      Pages 1-1
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    2. Contemporary Methods of Computational Intelligence

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 3-29

    3. Agent-Based Computing

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 31-55

    4. Formal Aspects of Agent-Based Metaheuristics

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 57-105

  3. Design and Implementation

    1. Front Matter

      Pages 107-107
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    2. Agents and Components in Software Engineering

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 109-121

    3. Towards the Implementation of Agent-Based Computing Systems

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 123-138

    4. AgE Computing Environment

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 139-157

  4. Experimental Results

    1. Front Matter

      Pages 159-159
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    2. EMAS in Optimization Problems

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 161-182

    3. Tuning of EMAS Parameters

      • Aleksander Byrski, Marek Kisiel-Dorohinicki
      Pages 183-194

  5. Back Matter

    Pages 195-210
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Keywords

About this book

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.

Authors and Affiliations

  • Faculty of Computer Science, Electronics and Telecommunications, Department of Computer Science, AGH University of Science and Technology, Kraków, Poland

    Aleksander Byrski, Marek Kisiel-Dorohinicki

Bibliographic Information

  • Book Title: Evolutionary Multi-Agent Systems

  • Book Subtitle: From Inspirations to Applications

  • Authors: Aleksander Byrski, Marek Kisiel-Dorohinicki

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-51388-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-51387-4Published: 02 January 2017

  • Softcover ISBN: 978-3-319-84637-8Published: 30 April 2018

  • eBook ISBN: 978-3-319-51388-1Published: 21 December 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 210

  • Number of Illustrations: 77 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Algorithm Analysis and Problem Complexity

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