Intelligent Systems Reference Library

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Authors: Pintea, Camelia-Mihaela

  • Introduces new bio-inspired techniques based on ants, agents and virtual robots
  • Solves real-life complex problems using the introduced bio-inspired techniques
  • Recent research on Bio-inspired Computing for Combinatorial Optimization Problems
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About this book

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.

Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed.

Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents.

This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.

Table of contents (9 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-40179-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-40178-7
  • 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
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
57
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-40179-4
DOI
10.1007/978-3-642-40179-4
Hardcover ISBN
978-3-642-40178-7
Series ISSN
1868-4394
Edition Number
1
Number of Pages
X, 188
Topics