Evolutionary Multiobjective Optimization: Theoretical Advances and Applications
| PUBLISHER | Springer (05/31/2005) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.
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Product Format
Product Details
ISBN-13:
9781852337872
ISBN-10:
1852337877
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
302
Carton Quantity:
26
Product Dimensions:
6.14 x 0.75 x 9.21 inches
Weight:
1.39 pound(s)
Feature Codes:
Bibliography,
Index,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Computer Science
Computers | Information Technology
Computers | Programming - Algorithms
Dewey Decimal:
519.6
Library of Congress Control Number:
2004052555
Descriptions, Reviews, Etc.
publisher marketing
Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.
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Editor:
Goldberg, Robert
Dr. Robert Goldberg is Vice President and co-founder of the Center for Medicine in the Public Interest, a non-profit institute dedicated to promoting the use and understanding of technologies that make health care more predictive and personalized. Previously, he was a senior fellow at the Manhattan Institute for Public Policy Research, where he was also Director of the Institute's Center for Medical Progress and Chairman of the Center's 21st Century FDA Reform Task Force. In 2007, he helped create www.Iguard.org, a web-based drug safety community with close to 1 million subscribers.
Dr. Goldberg is one of the nation's leading experts on health care policy, FDA reform, and biomedical innovation. Dr. Goldberg recently established and chairs CMPI's Critical Path Initiative for Personalized Medicine.
Dr. Goldberg has also emerged as an important conservative commentator on the current health care reform debate. Dr. Goldberg co-hosts CMPI's popular blog, drugwonks.com, which gets 15,000 unique page views monthly, is active on Facebook and Twitter, with around 1400 followers, and oversees several of CMPI's websites.
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List Price $199.99
Your Price
$197.99