Representations for Genetic and Evolutionary Algorithms [Hardcover]

Franz Rothlauf (Author), D.E. Goldberg (Foreword)

Book Description

Publication Date: August 10, 2002 | ISBN-10: 3790814962 | ISBN-13: 978-3790814965

In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.

Editorial Reviews

From the Back Cover

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has focused on operators and test problems, while problem representation has often been taken as given. This book breaks away from this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-to-read style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations. --This text refers to an alternate Hardcover edition.

Product Details

• Hardcover: 303 pages
• Publisher: Physica-Verlag HD (August 10, 2002)
• Language: English
• ISBN-10: 3790814962
• ISBN-13: 978-3790814965
• Product Dimensions: 9.3 x 6.4 x 0.9 inches
• Shipping Weight: 1.4 pounds
• Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #9,399,147 in Books (See Top 100 in Books)

More About the Author

Franz Rothlauf received a Diploma in Electrical Engineering from the University of Erlangen, Germany, a Ph.D. in Information Systems from the University of Bayreuth, Germany, and a Habilitation from the University of Mannheim, Germany, in 1997, 2001, and 2007, respectively.

Since 2007, he is chair of Information Systems at the University of Mainz. He has published more than 60 technical papers in the context of planning and optimization, evolutionary computation, e-business, and software engineering, co-edited several conference proceedings, and is author of the books "Representations for Genetic and Evolutionary Algorithms" and "Design of Modern Heuristics".

His main research interests are the application of modern heuristics in planning and optimization systems. He is a member of the Editorial Board of Evolutionary Computation Journal (ECJ) and Journal of Artificial Evolution and Applications (JAEA). Since 2007, he is member of the Executive Committee of ACM SIGEVO. He has been organizer of several workshops on heuristic optimization issues, chair of EvoWorkshops in 2005 and 2006, co-organizer of the European workshop series on "Evolutionary Computation in Communications, Networks, and Connected Systems", co-organizer of the European workshop series on "Evolutionary Computation in Transportation and Logistics", and co-chair of the program commitee of the GA track at GECCO 2006. He was conference chair of GECCO 2009. In 2011, he is Associate Chair for the "IS in Industrie und Unternehmensanwendungen" track in WI 2011.

Customer Reviews

Most Helpful Customer Reviews

0 of 3 people found the following review helpful:

3.0 out of 5 stars Good intro to an overlooked topic, October 17, 2006

By 

David K. vun Kannon "making up the rules" (Tenafly, New Jersey United States) - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Representations for Genetic and Evolutionary Algorithms (Hardcover)

I've enjoyed studying the topics in this book. I suggest buying the 2nd edition which has been expanded.