Algorithm Design (Hardcover)

# Hardcover: 864 pages
# Publisher: Addison Wesley; United States ed edition (March 26, 2005)
# Language: English
# ISBN-10: 0321295358
# ISBN-13: 978-0321295354
Price: $83.07

7 of 9 people found the following review helpful:
3.0 out of 5 stars One of the better introduction algorithm books, December 10, 2006
By Quality Man "yway6" (Arizona) - See all my reviews
With algorithms not a strength of mine (although I am a computer scientist student), I was quite happy that our professor switched to this book away from the MIT Press book. The first few chapters were exactly what I needed in order to finally get a grasp of key algorithm analysis and design concepts. As the book progressed to more difficult chapters, their explanations became less and less clear and seemed to rely more on text than on nice diagrams and graphics. A few complaints I have about the book: no mention of the Master Method in the dynamic programming chapter, NP-Complete explanation confusing, and no published errata that I could find. Although I have a few complaints about the book, it is one of the better books for being introduced to algorithms. It needs a little tuning now and then as some explanations are not so clear, but you'll find even more complicated explinations in other algorithm books.

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Swarm Intelligent Systems (Studies in Computational Intelligence)

Author(s): Nadia Nedjah (Editor), Luiza de Macedo Mourelle (Editor)
Publisher: Springer; 1 edition
Date : (July 28, 2006)
Pages : 186
Format : pdf
OCR : Y
Quality :
Language : English
ISBN-10 : 3540338683
ISBN-13 :
Product Description

This volume offers a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems as well as applications and interesting experiences using the particle swarm optimisation.

Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they hav

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