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Title:
Evolution of engineering and information systems and their applications
Series:
CRC Press international series on computational intelligence
Publication Information:
Boca Raton, Fl. : CRC Press, 2000
ISBN:
9780849319655
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30000004382713 QA76.618 E86 2000 Open Access Book Book
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30000004553883 QA76.618 E86 2000 Open Access Book Book
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Summary

Summary

Worldwide interest in the applications of evolutionary computing techniques to the design of engineering and information systems grows each day. Pattern recognition, control systems, factory scheduling, automation, generation of computer programs, and the design of intelligent paradigms all benefit from evolutionary techniques-their potential applications indeed seem limited only by the imaginations of scientists and engineers.
This is an area of intensive research and development, and evolutionary computing techniques are themselves constantly evolving. It becomes important, then, that computer scientists and applications engineers have a working knowledge of the techniques, stay abreast of recent advances, and have the opportunity to incorporate them into their own systems and designs.
Evolution of Engineering and Information Systems and Their Applications fills this need by providing an overview of the field and offering state-of-the-art reviews of the most important techniques and applications of evolutionary computing. The top experts from around the world discuss developments in genetic algorithms, genetic programming, and evolutionary strategies and applications including VLSI CAD, robot sensors, neural networks, and fuzzy classification systems.
This is a new and very hot field, yet there are few-if any-resources that document and disseminate its advances. With Evolution of Engineering and Information Systems and Their Applications, you have the opportunity to learn from the leading authorities, use these powerful techniques to improve your own systems, and help evolutionary computing reach its nearly boundless potential.


Table of Contents

M. Russo and L.C. JainB.J. RossJ.D. Lohn and J.A. ReggiaO. Cordon and M.J. del Jesus and F. HerreraJ.C.F. Pujol and R. PoliK. Balakrishnan and V. HonavarH. de Garis and A. Buller and M. Korkin and F. Gers and N.E. Nawa and M. HoughR. Drechsler and N. Drechsler
Preface
Chapter 1 An Introduction to Evolutionary Computingp. 1
Chapter 2 The Evolution of Concurrent Systemsp. 31
Chapter 3 Exploring the Design Space of Artificial Self-Replicating Structuresp. 65
Chapter 4 Evolutionary Approaches to the Learning of Fuzzy Rule-Based Classification Systemsp. 105
Chapter 5 Synthesis of Neural Networks Using a Two-Dimensional Approachp. 161
Chapter 6 Some Experiments in the Evolution of Robot Sensorsp. 191
Chapter 7 Evolution of Neural Network Modules: ATR's Artificial Brain Projectp. 229
Chapter 8 VLSI CAD and the Integration of Evolutionary Techniquesp. 275
Indexp. 313
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