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Evolutionary Optimization Algorithms
Dan Simon
[PDF.ze81] Evolutionary Optimization Algorithms
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| #1167516 in Books | Wiley | 2013-04-29 | Original language:English | PDF # 1 | 9.40 x1.90 x6.30l,2.60 | File type: PDF | 772 pages | ||3 of 3 people found the following review helpful.| A real winner! Thank you Professor Simon!|By Namir C. Shammas|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 f|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
A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms
Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies.
This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms ...
You easily download any file type for your device.Evolutionary Optimization Algorithms | Dan Simon. I really enjoyed this book and have already told so many people about it!
