How Long to Read An Introduction to Genetic Algorithms

How Long Does it Take to Read An Introduction to Genetic Algorithms?

It takes the average reader 3 hours and 51 minutes to read An Introduction to Genetic Algorithms by Melanie Mitchell

Assuming a reading speed of 250 words per minute. Learn more

Description

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

How long is An Introduction to Genetic Algorithms?

An Introduction to Genetic Algorithms by Melanie Mitchell is 226 pages long, and a total of 57,856 words.

This makes it 76% the length of the average book. It also has 71% more words than the average book.

How Long Does it Take to Read An Introduction to Genetic Algorithms Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 16 minutes to read An Introduction to Genetic Algorithms aloud.

What Reading Level is An Introduction to Genetic Algorithms?

An Introduction to Genetic Algorithms is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy An Introduction to Genetic Algorithms?

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