Evolutionary Computation in Practice
Published on 30. November 2010
Book
Paperback/Softback
XIV, 322 pages
978-3-642-09492-7 (ISBN)
Description
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.
Reviews / Votes
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)
More details
Series
Edition
1st ed. Softcover of orig. ed. 2008
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIV, 322 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
511 gr
ISBN-13
978-3-642-09492-7 (9783642094927)
DOI
10.1007/978-3-540-75771-9
Schweitzer Classification
Other editions
Additional editions
Tina Yu | Lawrence Davis | Cem Baydar
Evolutionary Computation in Practice
Book
01/2008
Springer
€160.49
Shipment within 10-15 days
Content
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: Three Applications.- 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.