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Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science Series)
 
 
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Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science Series) [Hardcover]

Stephan Olariu (Editor), Albert Y. Zomaya (Editor)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

September 29, 2005 Chapman & Hall/CRC Computer & Information Science Series
The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the connections between bioinspired techniques and the development of solutions to problems that arise in diverse problem domains.

A repository of the theory and fundamentals as well as a manual for practical implementation, this authoritative handbook provides broad coverage in a single source along with numerous references to the available literature for more in-depth information. The book's two sections serve to balance coverage of theory and practical applications. The first section explains the fundamentals of techniques, such as evolutionary algorithms, swarm intelligence, cellular automata, and others. Detailed examples and case studies in the second section illustrate how to apply the theory in actually developing solutions to a particular problem based on a bioinspired technique.

Emphasizing the importance of understanding and harnessing the robust capabilities of bioinspired techniques for solving computationally intractable optimizations and decision-making applications, the Handbook of Bioinspired Algorithms and Applications is an absolute must-read for anyone who is serious about advancing the next generation of computing.

Product Details

  • Hardcover: 704 pages
  • Publisher: Chapman and Hall/CRC; 1 edition (September 29, 2005)
  • Language: English
  • ISBN-10: 1584884754
  • ISBN-13: 978-1584884750
  • Product Dimensions: 10.1 x 6.8 x 1.5 inches
  • Shipping Weight: 2.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,801,304 in Books (See Top 100 in Books)

 

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5.0 out of 5 stars Handbook of Bioinspired Algorithms and Applications, June 28, 2008
This review is from: Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science Series) (Hardcover)
I am using the book now for class work. I find it easy to read and comprehensible.
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Inside This Book (learn more)
First Sentence:
One of the most striking features of Nature is the existence of living organisms adapted for surviving in almost any ecosystem, even the most inhospitable: from abyssal depths to mountain heights, from volcanic vents to polar regions. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multilinear partitions, gene expression algorithm, multistart model, border avatars, extended learning algorithm, finite element inverse analysis, distributed virtual environment systems, multiclass functions, suboptimal overhead, linear decision list, population learning algorithm, other program graphs, cellular evolutionary algorithms, autonomic computing paradigm, invalid thresholds, bee agents, macro entropy, critical avatars, nest locus, grooming ratio, particle swarm algorithms, pheromone values, pheromone matrix, autonomic applications, flocking algorithm
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Morgan Kaufmann, San Francisco, San Mateo, Retrieved April, Kluwer Academic Publishers, Computer Society, John Wiley, Fast Greedy, Parallel Problem Solving, Based Computers, Signal Processing, Ann Arbor, Future Generation Computer Systems, Intelligent Systems, Applications of Evolutionary Computing, Lawrence Erlbaum Associates, R-Mov Anchor, University of Michigan Press, Electrical Engineering, Neural Processing Letters, Prentice Hall, European Journal of Operational Research, Evolution Programs, Problem Statement
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