Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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Table of contents (18 chapters)
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Engineering
Keywords
About this book
Evolution is Nature’s design process. The natural world is full of wonderful examples of its successes, from engineering design feats such as powered flight, to the design of complex optical systems such as the mammalian eye, to the merely stunningly beautiful designs of orchids or birds of paradise. With increasing computational power, we are now able to simulate this process with greater fidelity, combining complex simulations with high-performance evolutionary algorithms to tackle problems that used to be impractical.
This book showcases the state of the art in evolutionary algorithms for design. The chapters are organized by experts in the following fields: evolutionary design and "intelligent design" in biology, art, computational embryogeny, and engineering. The book will be of interest to researchers, practitioners and graduate students in natural computing, engineering design, biology and the creative arts.
Reviews
From the reviews:
"This book is a compilation of different works on evolution. … the book addresses the hot issue of intelligent design (ID) versus evolution. … The book presents interesting work in the area of evolutionary algorithms and their origins and applications. … I recommend this book to everyone who is interested in evolutionary applications and algorithms. Readers will obtain an understanding of most of the applications of evolution, and will find new and interesting approaches to a number of research problems." (Jens Lichtenberg, ACM Computing Reviews, January, 2009)
Editors and Affiliations
Bibliographic Information
Book Title: Design by Evolution
Book Subtitle: Advances in Evolutionary Design
Editors: Philip F. Hingston, Luigi C. Barone, Zbigniew Michalewicz
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-540-74111-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-74109-1Published: 12 September 2008
Softcover ISBN: 978-3-642-09346-3Published: 23 November 2010
eBook ISBN: 978-3-540-74111-4Published: 30 September 2008
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XII, 352
Number of Illustrations: 146 b/w illustrations
Topics: Artificial Intelligence, Evolutionary Biology, Engineering Design, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Optimization