Free PDF Evolutionary Optimization Algorithms
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Evolutionary Optimization Algorithms
Free PDF Evolutionary Optimization Algorithms
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About the Author
DAN SIMON is a Professor at Cleveland State University in the Department of Electrical and Computer Engineering. His teaching and research interests include control theory, computer intelligence, embedded systems, technical writing, and related subjects. He is the author of the book Optimal State Estimation (Wiley).
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Product details
Hardcover: 772 pages
Publisher: Wiley; 1 edition (April 29, 2013)
Language: English
ISBN-10: 0470937416
ISBN-13: 978-0470937419
Product Dimensions:
6.3 x 1.9 x 9.4 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
6 customer reviews
Amazon Best Sellers Rank:
#1,204,108 in Books (See Top 100 in Books)
This book is a winner! Professor Simon delivers a thick book that covers a variety of evolutionary algorithms for optimization. He offers excellent explanation and includes a rich set of pseudo-code for the algorithms (sometimes offering different versions of the same algorithm). This book is an excellent reference for the topics it covers. The appendix lists a nice set of benchmark functions. While the book is void of any programming language source code, the author has web pages dedicated for this book. They offer a wealth of heavy duty very well-written Matlab source code. If you are serious or even curious about the topic of evolutionary algorithms, this book is for you! I was so impressed with the book, that I bought the hard copy AND the electronic version from the publisher (it is a digitally locked pdf version that you can read on one machine only).
This hits pretty much everything you need to know to get started with EAs. It is really nice to have a self contained volume like this instead of my giant stack of peer reviewed papers. Granted, the papers do get into more detail with the specific topics the address, but this book has been useful in helping to explain EAs to my coworkers here at the R&D firm I work at. The code supplements are also pretty nice references to get started (MATLAB). Check out [...]. The only gripe I have with the book is some use of LISP in the text (not a fan), but that isn't an integral part of the book and you don't need to use LISP to get a good understanding on how EAs work when using this book.
After taking 6 months to read this book, I can only say what a truly impressive exploration of the subject. I rate this as a 5-stars for many reasons. It isn’t just a good book on Evolutionary Algorithms but also an important book for Computer Science in general. I think this is one of the great books that no one noticed. Have fun reading this book!
Dan Simon does a really good job of surveying the field of evolutionary optimization algorithms. The text is up to date and well balanced across the many variants of evolutionary computation.
it is very good.fast and excellent
good book
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