David Goldberg1402070985, 9781402070983
The Design of Innovation illustrates how to design and implement competent genetic algorithms-genetic algorithms that solve hard problems quickly, reliably, and accurately-and how the invention of competent genetic algorithms amounts to the creation of an effective computational theory of human innovation. For the specialist in genetic algorithms and evolutionary computation, this book combines over two decades of hard-won research results in a single volume to provide a comprehensive step-by-step guide to designing genetic algorithms that scale well with problem size and difficulty. For the innovation researcher – whether from the social and behavioral sciences, the natural sciences, the humanities, or the arts – this unique book gives a consistent and valuable mathematical and computational viewpoint for understanding certain aspects of human innovation. For all readers, The Design of Innovation provides an entrée into the world of competent genetic algorithms and innovation through a methodology of invention borrowed from the Wright brothers. Combining careful decomposition, cost-effective, little analytical models, and careful design, the road to competence is paved with easily understood examples, simulations, and results from the literature. |
Table of contents :
CONTENTS……Page 8
Preface……Page 6
1. Introduction to Evolvable Hardware……Page 10
2. EHW Applied to Image Data Compression……Page 27
3. A GA Hardware Engine and Its Applications……Page 49
4. Post-Fabrication Clock-Timing Adjustment Using Genetic Algorithms……Page 72
5. Bio-Inspired Computing Machines with Artificial Division and Differentiation……Page 92
6. The POEtic Hardware Device: Assistance for Evolution, Development and Learning……Page 106
7. Evolvable Analog LSI……Page 127
8. Reconfigurable Electronics for Extreme Environments……Page 150
9. Characterization and Synthesis of Circuits at Extreme Low Temperatures……Page 166
10. Human-Competitive Evolvable Hardware Created by Means of Genetic Programming……Page 178
11. Evolvable Optical Systems……Page 203
12. Hardware Platforms for Electrostatic Tuning of MEMS Gyroscope Using Nature-Inspired Computation……Page 212
L……Page 226
Y……Page 227 |
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