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An Introduction to Genetic Algorithms
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An Introduction to Genetic Algorithms

3.74  ·  Rating details ·  192 ratings  ·  9 reviews
"This is the best general book on Genetic Algorithms written to date. It covers background, history, and motivation; it selects important, informative examples of applications and discusses the use of Genetic Algorithms in scientific models; and it gives a good account of the status of the theory of Genetic Algorithms. Best of all the book presents its material in clear, ...more
Paperback, 221 pages
Published March 2nd 1998 by Bradford Book (first published 1996)
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Richard
Oct 16, 2018 rated it really liked it
This is an introduction to genetic algorithms with case studies and a literature survey. It's 20 years old, so the survey is like a time capsule from the late 90s (I've no idea how much the GA world has moved on since then). But the introduction part is timeless, the exercises useful, and importantly the book is nice and short.
Alan
Sep 20, 2018 rated it it was amazing
good readable introduction or refresher
Suneel Madhekar
This is the first book I've read on GAs. The impression that it makes is that the field of Genetic Algorithms is nascent (or at least was, at the time of writing the book). I was hoping for solid insights into various issues related to GAs, like which problems are best suited for a GA based solution, how to design a GA for a given problem, how to choose the various primitives for a GA, and how to select various parameters... However, I could find none of that. All that I saw was heuristics, ...more
Simone Scardapane
Gran bella introduzione agli Algoritmi Genetici, buon bilanciamento fra esempi e teoria (due capitoli ciascuno). Inoltre, ottima parte finale con tutti i riferimenti per maggiori informazioni.
(PS: ormai un po' datato.)
James
Jun 14, 2009 rated it really liked it
A great intro to the subject.
Tim
Mar 30, 2014 rated it really liked it
Shelves: sabbatical_prep
Good intro to the topic. Still relevant after all these years, that is commendable.
Heba Mostafa
May 13, 2014 rated it liked it
selective reading was useful
Owen Lindsell
Jun 05, 2009 rated it it was amazing
The best book around on one of the most fascinating subjects around. Contains everything you need to know to start writing genetic algorithms.
Dawn Drain
Oct 12, 2015 rated it liked it
Genetic algorithms are very underwhelming. There should at least be a few captivating (nonbiological) examples, but this book presents very few successes.
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Melanie Mitchell is a professor of computer science at Portland State University. She has worked at the Santa Fe Institute and Los Alamos National Laboratory. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited.

She received her PhD in 1990 from the University of Michigan
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