| View Larger Image | Intelligent Optimisation Techniques | Hardcoverby D.T. Pham (Author), D. Karaboga (Author)
| List Price: | $91.00 | |
| | Binding: | Hardcover | | Publisher: | Springer | | Edition: | 1st Edition | | Page Count: | 302 Pages | | Publication Date: | May 15, 2000 | | Sales Rank: | 2,301,236nd |
|
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. |
CUSTOMER REVIEWS (Average Customer Rating: 2.5 based on 3 reviews)
|
Very useful book by Dr. Robert Alcock (Greece)  5 Stars
June 27, 2003
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.
| |
The worst book ever by yann COLLETTE (France)  1 Stars
December 05, 2002
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.
| |
Superficial  2 Stars
March 26, 2001
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).
| |
|
