Evolutionary computation in practice
- Responsibility
- Tina Yu [and others] (eds.).
- Language
- English. English.
- Digital
- text file
- Imprint
- Berlin : Springer, ©2008.
- Physical description
- 1 online resource (xiv, 322 pages) : illustrations
- Series
- Studies in computational intelligence ; v. 88.
Online
Available online
More options
Description
Creators/Contributors
- Contributor
- Yu, Tina.
Contents/Summary
- Bibliography
- Includes bibliographical references and index.
- Contents
-
- An Introduction to Evolutionary Computation in Practice.- Design for Product Embedded Disassembly.- Multi-Level Decomposition for Tractability in Structural Design Optimization.- Representing the Change-Free Form Deformation for Evolutionary Design Optimization.- Evolving Microstructured Optical Fibres.- Making Interactive Evolutionary Graphic Design Practical.- Optimization of Store Performance using Personalized Pricing.- A Computational Intelligence Approach to Railway Track Intervention Planning.- A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation.- Resource Scheduling with Permutation Based Representations.- Evolutionary Computation in the Chemical Industry.- Technology Transfer: Academia to Industry.- A Survey of Practitioners of Evolutionary Computation.- Evolutionary Computation Applications: Twelve Lessons Learned.- Evolutionary Computation at American Air Liquide.
- (source: Nielsen Book Data)
- Summary
- 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
Subjects
Bibliographic information
- Publication date
- 2008
- Series
- Studies in computational intelligence ; v. 88
- ISBN
- 9783540757719
- 3540757716
- 9783540757702 (hbk.)
- 3540757708 (hbk.)
- DOI
- 10.1007/978-3-540-75771-9
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