Evolutionary Computation in Practice

✍ Scribed by Associate Professor Tina Yu (auth.), Associate Professor Tina Yu, President Lawrence Davis, Director Cem Baydar, Professor Rajkumar Roy (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2008
• Tongue: English
• Leaves: 327
• Series: Studies in Computational Intelligence 88
• Edition: 1
• Category: Library

✦ Synopsis

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs that mimic natural evolution—to solve real 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. Some of the authors have already won "Humies"—Human Competitive Results Awards—for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems.

--Erik Goodman, Vice President, Red Cedar Technology, Inc.; Professor, Electrical & Computer Engineering, Michigan State University; and Founding Chair, ACM SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation of the Association for Computing Machinery

✦ Table of Contents

Front Matter....Pages i-xiv
An Introduction to Evolutionary Computation in Practice....Pages 1-8
Design for Product Embedded Disassembly....Pages 9-39
Multi-Level Decomposition for Tractability in Structural Design Optimization....Pages 41-62
Representing the Change - Free Form Deformation for Evolutionary Design Optimization....Pages 63-86
Evolving Microstructured Optical Fibres....Pages 87-124
Making Interactive Evolutionary Graphic Design Practical....Pages 125-141
Optimization of Store Performance Using Personalized Pricing....Pages 143-161
A Computational Intelligence Approach to Railway Track Intervention Planning....Pages 163-198
A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation....Pages 199-218
Resource Scheduling with Permutation Based Representations: Three Applications....Pages 219-243
Evolutionary Computation in the Chemical Industry....Pages 245-262
Technology Transfer: Academia to Industry....Pages 263-281
A Survey of Practitioners of Evolutionary Computation....Pages 283-297
Evolutionary Computation Applications: Twelve Lessons Learned....Pages 299-312
Evolutionary Computation at American Air Liquide....Pages 313-317
Back Matter....Pages 319-322

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)