About this book
Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications in industry and commerce to leading-edge scientific research.
This book presents the first complete overview of this exciting field aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. To this group the book is valuable because it presents EC as something to be used rather than just studied.
Last, but not least, this book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
- Book Title Introduction to Evolutionary Computing
- Series Title Natural Computing Series
- DOI https://doi.org/10.1007/978-3-662-05094-1
- Copyright Information Springer-Verlag Berlin Heidelberg 2003
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Springer Book Archive
- Hardcover ISBN 978-3-540-40184-1
- Softcover ISBN 978-3-642-07285-7
- eBook ISBN 978-3-662-05094-1
- Series ISSN 1619-7127
- Edition Number 1
- Number of Pages XV, 300
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Theory of Computation
- Buy this book on publisher's site
From the reviews:
"This is intended primarily as a textbook for lecturers and graduate and undergraduate students but will certainly attract a wider readership. The authors explain that each of them has many years of teaching experience, and has given instruction on Evolutionary Computing (EC) … and they realised the need for a suitable textbook and decided to write this one. … Beside serving as an introduction the book is a guide to the state-of-the art. … This is a well-produced and very useful book." (Alex M. Andrew, Robotica, Vol. 22, 2004)