Studies in Computational Intelligence

By: Tina Yu (Editor), Lawrence Davis (Editor), Cem Baydar (Editor)

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Hardcover | 9 January 2008

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Hardcover
340 Pages

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23.5 x 15.88 x 1.91

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This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren't abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.

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"'Evolutionary Computation in Practice' ... focuses on real-world challenges and on technology transfer from academia to industry. It is of interest to everyone working on machine learning. ... is well-written, easy to read and provides a comprehensive coverage of the field. ... This enables the appropriate and successful use of EC. It inspires academic researchers by demonstrating the value of their work, and guides them in their development of EC. It is an excellent contribution to the Studies in Computational Intelligence series." (Larry M. Deschaine, Genetic Programming and Evolvable Machines, Vol. 9, March, 2008)

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Mathematics Applied Mathematics Engineering & Technology Electronics & Communications Engineering Electronics Engineering Technology in General Maths for Engineers

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Paperback

Published: 30th November 2010

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Contributing Authors	p. vii
Preface	p. xi
Foreword	p. xiii
An Introduction to Evolutionary Computation in Practice	p. 1
Design for Product Embedded Disassembly	p. 9
Multi-Level Decomposition for Tractability in Structural Design Optimization	p. 41
Representing the Change - Free Form Deformation for Evolutionary Design Optimization	p. 63
Evolving Microstructured Optical Fibres	p. 87
Making Interactive Evolutionary Graphic Design Practical	p. 125
Optimization of Store Performance Using Personalized Pricing	p. 143
A Computational Intelligence Approach to Railway Track Intervention Planning	p. 163
A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation	p. 199
Resource Scheduling with Permutation Based Representations	p. 219
Evolutionary Computation in the Chemical Industry	p. 245
Technology Transfer: Academia to Industry	p. 263
A Survey of Practitioners of Evolutionary Computation	p. 283
Evolutionary Computation Applications: Twelve Lessons Learned	p. 299
Evolutionary Computation at American Air Liquide	p. 313
Index	p. 319
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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