Design by Evolution: Advances in Evolutionary Design
Inhaltsverzeichnis
Reference
- Philip F. Hingston, Luigi C. Barone, Zbigniew Michalewicz (Herausgeber): Design by Evolution: Advances in Evolutionary Design. 1 Aufl., Springer, Berlin, 2008, ISBN 978-3540741091, 352 Seiten.
DOI
http://link.springer.com/10.1007/978-3-540-74111-4
Abstract
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.
Extended Abstract
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)
Bibtex
@book{
year={2008},
isbn={978-3-540-74109-1},
booktitle={Design by Evolution},
series={Natural Computing Series},
editor={Hingston, PhilipF. and Barone, LuigiC. and Michalewicz, Zbigniew},
doi={10.1007/978-3-540-74111-4},
url={http://dx.doi.org/10.1007/978-3-540-74111-4 http://de.evo-art.org/index.php?title=Design_by_Evolution:_Advances_in_Evolutionary_Design },
publisher={Springer Berlin Heidelberg},
language={English}
}
Table of contents (18 chapters)
Preface
Foreword by David B. Fogel and Preface-pdf
Biology
Kay C. Wiese: Evolutionary Design in Biology. 3-5
Thomas English, Garrison W. Greenwood: Intelligent Design and Evolutionary Computation. 7-30
Shuhei Kimura: Inference of Genetic Networks Using an Evolutionary Algorithm. 31-51
Jennifer Hallinan: Synthetic Biology: Life, Jim, but Not As We Know It. 53-68
Christian Jacob: Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex Systems. 69-94
Art
McCormack, Jon: Evolutionary Design in Art. In: Hingston & Barone & Michalewicz: Design by Evolution, Springer, Berlin, 2008. S. 97-100. DOI: http://link.springer.com/10.1007/978-3-540-74111-4_6
Driessens, Erwin; Verstappen, Maria: Natural Processes and Artificial Procedures. In: Hingston & Barone & Michalewicz: Design by Evolution, Springer, Berlin, 2008. S. 101-120. DOI: http://link.springer.com/10.1007/978-3-540-74111-4_7
Ashlock, Daniel; Jamieson, Brooke: Evolutionary exploration of Complex Fractals. In: Hingston & Barone & Michalewicz: Design by Evolution, Springer, Berlin, 2008. S. 121-144. DOI: http://link.springer.com/10.1007/978-3-540-74111-4_8
Ventrella, Jeffrey: Evolving the Mandelbrot Set to Imitate Figurative Art. In: Hingston & Barone & Michalewicz: Design by Evolution, Springer, Berlin, 2008. S. 145-168. DOI: http://link.springer.com/10.1007/978-3-540-74111-4_9
McCormack, Jon: Evolutionary L-systems. In: Hingston & Barone & Michalewicz: Design by Evolution, Springer, Berlin, 2008. S. 169-198. DOI: http://link.springer.com/10.1007/978-3-540-74111-4_10
Embryogeny
Daniel Ashlock: Evolutionary Design in Embryogeny. 199-202
Daniel Ashlock, Stephen Gent, Kenneth Bryden: Embryogenesis of Artificial Landscapes. 203-221
Sanjeev Kumar: On Form and Function: The Evolution of Developmental Control. 223-241
Chris P. Bowers: Modularity in a Computational Model of Embryogeny. 243-263
Engineering
Kalyanmoy Deb: Evolutionary Design in Engineering. 267-271
Kalvanmoy Deb: Engineering Optimization Using Evolutionary Algorithms: A Case Study on Hydro-thermal Power Scheduling. 273-296
Qing Ling, Gang Wu, Qiuping Wang: Multimodal Function Optimization of Varied-Line-Spacing Holographic Grating. 297-317
Jianjun Hu, Zhun Fan, Jiachuan Wang, Shaobo Li, Kisung Seo, Xiangdong Peng: GPBG: A Framework for Evolutionary Design of Multi-domain Engineering Systems Using Genetic Programming and Bond Graphs. 319-345
Links
Full Text
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