Evolutionary Computation in Practice (eBook, PDF)

Redaktion: Yu, Tina; Roy, Rajkumar; Baydar, Cem; Davis, Lawrence

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 322
• Erscheinungstermin: 23. Januar 2008
• Englisch
• ISBN-13: 9783540757719
• Artikelnr.: 44230239

Inhaltsangabe

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.

Rezensionen

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)