Evolutionary Optimization Algorithms
biologocally-inspired and population-based approaches to computer intelligence
$344.96
- Hardcover
784 pages
- Release Date
12 April 2013
Summary
Evolutionary Optimization Algorithms: Nature-Inspired Intelligence
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 programmi…
Book Details
| ISBN-13: | 9780470937419 |
|---|---|
| ISBN-10: | 0470937416 |
| Author: | Dan Simon |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 784 |
| Edition: | 1st |
| Release Date: | 12 April 2013 |
| Weight: | 1.23kg |
| Dimensions: | 239mm x 160mm x 48mm |
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About The Author
Dan Simon
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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