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Evolutionary Computation in Practice : Studies in Computational Intelligence - Tina Yu

Evolutionary Computation in Practice

Studies in Computational Intelligence

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

Hardcover

Published: 4th January 2008
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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.

From the reviews:

"`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)

Contributing Authorsp. vii
Prefacep. xi
Forewordp. xiii
An Introduction to Evolutionary Computation in Practicep. 1
Design for Product Embedded Disassemblyp. 9
Multi-Level Decomposition for Tractability in Structural Design Optimizationp. 41
Representing the Change - Free Form Deformation for Evolutionary Design Optimizationp. 63
Evolving Microstructured Optical Fibresp. 87
Making Interactive Evolutionary Graphic Design Practicalp. 125
Optimization of Store Performance Using Personalized Pricingp. 143
A Computational Intelligence Approach to Railway Track Intervention Planningp. 163
A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretationp. 199
Resource Scheduling with Permutation Based Representationsp. 219
Evolutionary Computation in the Chemical Industryp. 245
Technology Transfer: Academia to Industryp. 263
A Survey of Practitioners of Evolutionary Computationp. 283
Evolutionary Computation Applications: Twelve Lessons Learnedp. 299
Evolutionary Computation at American Air Liquidep. 313
Indexp. 319
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9783540757702
ISBN-10: 3540757708
Series: Studies in Computational Intelligence
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 322
Published: 4th January 2008
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 1.91
Weight (kg): 0.67