Studies in Computational Intelligence

Agent-Based Optimization

Editors: Czarnowski, Ireneusz, Jędrzejowicz, Piotr, Kacprzyk, Janusz (Eds.)

  • Recent research in Agent-Based Optimization
  • Presents novel and promising approaches in which the multi-agent system paradigm is used to solve difficult optimization problems
  • Written by leading experts in the field
see more benefits

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-642-34097-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-642-34096-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-642-44731-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve  difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving.

Table of contents (8 chapters)

  • Machine Learning and Multiagent Systems as Interrelated Technologies

    Czarnowski, Ireneusz (et al.)

    Pages 1-28

  • Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem

    Boryczka, Mariusz (et al.)

    Pages 29-53

  • Solving Instances of the Capacitated Vehicle Routing Problem Using Multi-agent Non-distributed and Distributed Environment

    Barbucha, Dariusz

    Pages 55-75

  • Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation

    Jędrzejowicz, Piotr (et al.)

    Pages 77-102

  • Triple-Action Agents Solving the MRCPSP/Max Problem

    Jędrzejowicz, Piotr (et al.)

    Pages 103-122

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-642-34097-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-642-34096-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-642-44731-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Agent-Based Optimization
Editors
  • Ireneusz Czarnowski
  • Piotr Jędrzejowicz
  • Janusz Kacprzyk
Series Title
Studies in Computational Intelligence
Series Volume
456
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-34097-0
DOI
10.1007/978-3-642-34097-0
Hardcover ISBN
978-3-642-34096-3
Softcover ISBN
978-3-642-44731-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 206
Topics