Intelligent Optimisation Techniques [ILLUSTRATED] (Hardcover)

by D.T. Pham (Author), D. Karaboga (Author) "This chapter consists of six main sections..." (more)
Key Phrases: neuron ijk, inspection stations allocation, triangular microstrip patch antenna, Antennas Propagation, Morgan Kaufmann, New York (more...)

Editorial Reviews

Product Description
This book covers four optimisation techniques loosely classified as intelligent: genetic algorithms, tabu search, simulated annealing and neural networks. Genetic algorithms locate optima using processes similar to those in natural selection and genetics. Tabu search is a heuristic procedure that employs dynamically generated constraints or tabus to guide the search for optimum solutions. Simulated annealing find optima in a way analogous to the reaching of minimum energy configurations in metal annealing. Neural networks are computational models of the brain. Certain types of neural networks can be used for optimisation by exploiting their inherent ability to evolve in the direction of the negative gradient of an energy function and to reach a stable minimum of that function. Aimed at engineers, the book gives a concise introduction to the four techniques, and presents a range of applications.

Product Details

• Hardcover: 302 pages
• Publisher: Springer; 1 edition (May 15, 2000)
• Language: English
• ISBN-10: 1852330287
• ISBN-13: 978-1852330286
• Product Dimensions: 9.4 x 6.3 x 0.9 inches
• Shipping Weight: 1.4 pounds
• Average Customer Review: 2.7 out of 5 stars See all reviews (3 customer reviews)
• Amazon.com Sales Rank: #2,339,729 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

10 of 11 people found the following review helpful:

2.0 out of 5 stars Superficial, March 26, 2001

By	"shw23" (Cambridge, Cambridgeshire United Kingdom) - See all my reviews

This book gave a superficial coverage on 4 optimization techniques in Chapter 1. Out of the 4 techniques, only Genetic Algorithm was explained slighty more in detail. The rest are merely short examples. That is about all you will get from this book (one brief Chapter on ALL 4 techniques).

5.0 out of 5 stars Very useful book, June 27, 2003

By	Dr. Robert Alcock "Bob Greece" (Greece) - See all my reviews (REAL NAME)

This is a very useful book. It starts by introducing very important and interesting techniques in optimisation i.e. genetic algorithms, simulated annealing, tabu search and neural networks. It continues by giving examples of how the techniques have been applied in various case studies. The book also contains code so that users have a head start in implementing the techniques described. This book is good for beginners because it describes the basics of the techniques. It is also suitable for more advanced researchers because the case studies provoke ideas for further work. In conclusion, this book is a useful addition to the bookshelf of any researcher interested in intelligent optimisation.

2 of 5 people found the following review helpful:

1.0 out of 5 stars The worst book ever, December 5, 2002

By	yann COLLETTE (France) - See all my reviews

I bought this book because it has source code for simulated annealing, genetic algorithms, tabu search and neural networks.
I have used the three first source code and ... they are so buggy.
They're wrote in C but doesn't compile due to evident syntax errors (so evident, are they here so as to made these source code unusable ?).
The content of the book is not equilibrate (some metaheuristics aren't discussed thoroughly).
If the authors use there source code, I think evereything presented in this book is completely false.
Don't buy it, there are some better books to buy.