Evolutionary Computation

This Third Edition provides the latest tools and techniques that
enable computers to learn

The Third Edition of this internationally acclaimed publication
provides the latest theory and techniques for using simulated
evolution to achieve machine intelligence. As a leading advocate
for evolutionary computation, the author has successfully
challenged the traditional notion of artificial intelligence, which
essentially programs human knowledge fact by fact, but does not
have the capacity to learn or adapt as evolutionary computation
does.

Readers gain an understanding of the history of evolutionary
computation, which provides a foundation for the author's thorough
presentation of the latest theories shaping current research.
Balancing theory with practice, the author provides readers with
the skills they need to apply evolutionary algorithms that can
solve many of today's intransigent problems by adapting to new
challenges and learning from experience. Several examples are
provided that demonstrate how these evolutionary algorithms learn
to solve problems. In particular, the author provides a detailed
example of how an algorithm is used to evolve strategies for
playing chess and checkers.

As readers progress through the publication, they gain an
increasing appreciation and understanding of the relationship
between learning and intelligence. Readers familiar with the
previous editions will discover much new and revised material that
brings the publication thoroughly up to date with the latest
research, including the latest theories and empirical properties of
evolutionary computation.

The Third Edition also features new knowledge-building aids.
Readers will find a host of new and revised examples. New questions
at the end of each chapter enable readers to test their knowledge.
Intriguing assignments that prepare readers to manage challenges in
industry and research have been added to the end of each chapter as
well.

This is a must-have reference for professionals in computer and
electrical engineering; it provides them with the very latest
techniques and applications in machine intelligence. With its
question sets and assignments, the publication is also recommended
as a graduate-level textbook.