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  • © 2006

Stigmergic Optimization

  • Reports recent research results on Stigmergic Organization

Part of the book series: Studies in Computational Intelligence (SCI, volume 31)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvii
  2. Stigmergic Autonomous Navigation in Collective Robotics

    • Cazangi R. Renato, Von Zuben J. Fernando, Figueiredo F. Mauricio
    Pages 25-63
  3. A General Approach to Swarm Coordination using Circle Formation

    • Swaminathan Karthikeyan, Minai A. Ali
    Pages 65-84
  4. Physically Realistic Self-assembly Simulation System

    • Gerasimov Vadim, Guo Ying, James Geoff, Poulton Geoff
    Pages 117-130
  5. Linear Multi-Objective Particle Swarm Optimization

    • Mostaghim Sanaz, Mostaghim Sanaz, Halter Werner, Wille Anja
    Pages 209-238
  6. Parallel Particle Swarm Optimization Algorithms with Adaptive Simulated Annealing

    • Chu Shu-Chuan, Tsai Pei-Wei, Pan Jeng-Shyang, Pan Jeng-Shyang
    Pages 261-279
  7. Swarm Intelligence: Theoretical Proof That Empirical Techniques are Optimal

    • Iourinski Dmitri, Starks A. Scott, Kreinovich Vladik, Smith F. Stephen
    Pages 281-295
  8. Back Matter

    Pages 297-299

About this book

Biologists studied the behavior of social insects for a long time. After millions of years of evolution all these species have developed incredible solutions for a wide range of problems. The intelligent solutions to problems naturally emerge from the self-organization and indirect communication of these individuals. Indirect interactions occur between two individuals when one of them modifies the environment and the other responds to the new environment at a later time. Such an interaction is an example of ‘stigmergy’. This book deals with the application of stigmergy for a variety of optimization problems. This volume comprises 12 chapters including an introductory chapter giving the fundamental definitions, inspirations and some research challenges.

Important features include a detailed overview of all the stigmergic optimization paradigms, excellent coverage of timely, advanced stigmergic optimization topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and application of stigmergic optimization will find the comprehensive coverage of this book invaluable.

Authors and Affiliations

  • School of Computer Science and Engineering, Chung-Ang University, Republic of Korea

    Abraham Ajith

  • Department of Computer Science Faculty of Mathematics and Computer Science, Babes-Bolyai University, 400084, Cluj – Napoca, Romania

    Grosan Crina

  • IST Technical University of Lisbon, 1049-001, Lisboa, Portugal

    Ramos Vitorino

Bibliographic Information

  • Book Title: Stigmergic Optimization

  • Authors: Abraham Ajith, Grosan Crina, Ramos Vitorino

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-34690-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2006

  • Hardcover ISBN: 978-3-540-34689-0Published: 18 July 2006

  • Softcover ISBN: 978-3-642-07106-5Published: 28 October 2010

  • eBook ISBN: 978-3-540-34690-6Published: 06 October 2006

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVII, 299

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access