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Evolutionary Computation for Modeling and Optimization (Interdisciplinary Applied Mathematics)

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This book is an adaptation of notes that have been used to teach a class in
evolutionary computation at Iowa State University for eight years. A number
of people have used the notes over the years, and by publishing them in book
form I hope to make the material available to a wider audience.

It is important to state clearly what this book is and what it is not. It
is a text for an undergraduate or first-year graduate course in evolutionary
computation for computer science, engineering, or other computational science
students. The large number of homework problems, projects, and experiments
stem from an effort to make the text accessible to undergraduates with some
programming skill. This book is directed mainly toward application of evolutionary
algorithms. This book is not a complete introduction to evolutionary
computation, nor does it contain a history of the discipline. It is not a theoretical
treatment of evolutionary computation, lacking chapters on the schema
theorem and the no free lunch theorem.

The key to this text are the experiments. The experiments are small computational
projects intended to illustrate single aspects of evolutionary computation
or to compare different methods. Small changes in implementation
create substantial changes in the behavior of an evolutionary algorithm. Because
of this, the text does not tell students what will happen if a given method
is used. Rather, it encourages them to experiment with the method. The experiments
are intended to be used to drive student learning. The instructor
should encourage students to experiment beyond the stated boundaries of the
experiments. I have had excellent luck with students finding publishable new
ideas by exceeding the bounds of the experiments suggested in the book.
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