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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

Thomas Back




[PDF.sg87] Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

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 | #2800252 in Books |  1996-01-11 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  6.42 x.91 x9.56l,1.31 | File type: PDF | 328 pages

||9 of 10 people found the following review helpful.| scholarly and from a general viewpoint|By Todd Ebert|In comparing this book with, say Goldberg's "Genetic Algorithms..." (may be the most popular genetic algorithms text), this book reads more like a German habilitation thesis (which I imagine it may have served as such), where as Goldberg's book seems more of a light introduction for the mathematically uninitiated. Indeed, Ba| ||"The book as a whole is well written, easy to read, and it will be valuable to readers interested in practical and computational issues in solving general optimization problems."--Mathematical s|||About the Author

This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a...

You easily download any file type for your device.Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms   |  Thomas Back. Just read it with an open mind because none of us really know.

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