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Rating: 
Summary: A Great Starting Point for GA Research
Review: I was lucky enough to have Dr. Vose for a graduate course in Genetic Algorithms at the University of Tennessee. The course content was very similar to this book, and gave me the knowledge needed to successfully apply GA's to a wide range of real-life problems. Dr. Vose is a gifted mathematician and computer scientist, and I highly recommend this book.
Rating:
Summary: A Great Starting Point for GA Research
Review: I was lucky enough to have Dr. Vose for a graduate course in Genetic Algorithms at the University of Tennessee. The course content was very similar to this book, and gave me the knowledge needed to successfully apply GA's to a wide range of real-life problems. Dr. Vose is a gifted mathematician and computer scientist, and I highly recommend this book.
Rating: 
Summary: One person from Galicia
Review: Me ha ayudado mucho en mi trabajo.
Rating: 
Summary: dense but informative
Review: the word simple in the title can be misleading. it is not meant to give the impression that the material in the book is simple, but to say that the topic covered is reduced to the simpliest of genetic algorithm theory, and then, you are brutally raked over burning coals by it.the introduction given by the author could be mistaken as elitest, totalitarial propaganda for the next mathematical reich: condeming the application and biological euphamism that has been used to explain genetic algorithms while carrying the flag of pure mathematical abstraction. basically, all math and no play makes jack a dull boy, at least to those who wanted a simple introduction. i found the math sometimes unnecessarily complex at times, with notation being abused (ironically, the author in the introduction condems those that do this, too), and the level of rigor being uneven. all of this makes it sometimes difficult to follow. but, there are some sections that where there is no better explanation in any book but the detailed, well thought out, straight forward presentation here (look at the coverage of walsh and the complex examples sections). for anybody who uses ga's daily, this is an essential read for a truly deep understanding. the two friends that i have loaned this book to, returned it in under a month scared away by the mathematics, prima facie; it really isn't that bad and the understanding you get from this book is unparalled by any other dna-glossy-picture, darwinian-explanation filled excuse for a book.
Rating:
Summary: dense but informative
Review: the word simple in the title can be misleading. it is not meant to give the impression that the material in the book is simple, but to say that the topic covered is reduced to the simpliest of genetic algorithm theory, and then, you are brutally raked over burning coals by it. the introduction given by the author could be mistaken as elitest, totalitarial propaganda for the next mathematical reich: condeming the application and biological euphamism that has been used to explain genetic algorithms while carrying the flag of pure mathematical abstraction. basically, all math and no play makes jack a dull boy, at least to those who wanted a simple introduction. i found the math sometimes unnecessarily complex at times, with notation being abused (ironically, the author in the introduction condems those that do this, too), and the level of rigor being uneven. all of this makes it sometimes difficult to follow. but, there are some sections that where there is no better explanation in any book but the detailed, well thought out, straight forward presentation here (look at the coverage of walsh and the complex examples sections). for anybody who uses ga's daily, this is an essential read for a truly deep understanding. the two friends that i have loaned this book to, returned it in under a month scared away by the mathematics, prima facie; it really isn't that bad and the understanding you get from this book is unparalled by any other dna-glossy-picture, darwinian-explanation filled excuse for a book.
Rating:
Summary: A mathematical introduction to Genetic Algorithms
Review: This book is for mathematicians or people who want to study genetic algorithms formally. If you are looking for a book that does not emphasize on the mathematical aspects and talks about parallels between genetic algorithms and natural selection,etc., then you should buy the books written by Goldberg or Mitchell. It is a great introduction to genetic algorithms for advanced undergraduate mathematics students or people with sufficient math knowledge and maturity. If you read it without these prerequisites, you will only be able to understand little bits and will get lost in the formalism.
Prior knowledge of genetic algorithms is recommended. I did not give this book the perfect rating because I find that the author should introduce concepts intuitively before giving their mathematical definitions. I am aware that this can be a consequence of a lack of mathematical maturity on my part. If you are tired of reading books on genetic algorithms that talk about natural selection,etc. but do not formalize the concepts involved, then this a book for you.
Rating:
Summary: one of a kind modern classic
Review: This book is the result of the author's attempts to "really understand" evolutionary algorithms. It's very mathematical and rigorous, though sometimes the formulation is not very usual. ( a warning!) You may need a few references, and pondering. Is this a perfect book? Maybe not. But it's very important for the deeper understanding of GA...a landmark great job! All people who are interested in the underpinning of GA should get this book. It's also a good supplement for mathematical modeling in the sense that it presents a very hard topic that few people have tried to formulate. I mean a very good demonstration of modeling complicated structures like heuristic learning process. And also a good supplement of general dynamical systems. The style is kind of Dirac-like -- few words, short, original but you barely can add more words to the margins. It's a kind of modernized Chinese meal -- less oily, but still nutritious!! I cannot find any annoying and useless aside in the whole book. The book is beautiful and well-bound, and nice paper, cover, etc. I got the hardback, though.
Rating:
Summary: one of a kind modern classic
Review: This book is the result of the author's attempts to "really understand" evolutionary algorithms. It's very mathematical and rigorous, though sometimes the formulation is not very usual. ( a warning!) You may need a few references, and pondering. Is this a perfect book? Maybe not. But it's very important for the deeper understanding of GA...a landmark great job! All people who are interested in the underpinning of GA should get this book. It's also a good supplement for mathematical modeling in the sense that it presents a very hard topic that few people have tried to formulate. I mean a very good demonstration of modeling complicated structures like heuristic learning process. And also a good supplement of general dynamical systems. The style is kind of Dirac-like -- few words, short, original but you barely can add more words to the margins. It's a kind of modernized Chinese meal -- less oily, but still nutritious!! I cannot find any annoying and useless aside in the whole book. The book is beautiful and well-bound, and nice paper, cover, etc. I got the hardback, though.
Rating:
Summary: one of a kind modern classic
Review: This book is the result of the author's attempts to "really understand" evolutionary algorithms. It's very mathematical and rigorous, though sometimes the formulation is not very usual. ( a warning!) You may need a few references, and pondering. Is this a perfect book? Maybe not. But it's very important for the deeper understanding of GA...a landmark great job! All people who are interested in the underpinning of GA should get this book. It's also a good supplement for mathematical modeling in the sense that it presents a very hard topic that few people have tried to formulate. I mean a very good demonstration of modeling complicated structures like heuristic learning process. And also a good supplement of general dynamical systems. The style is kind of Dirac-like -- few words, short, original but you barely can add more words to the margins. It's a kind of modernized Chinese meal -- less oily, but still nutritious!! I cannot find any annoying and useless aside in the whole book. The book is beautiful and well-bound, and nice paper, cover, etc. I got the hardback, though.
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