This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.
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5.0 out of 5 stars
The reference in evolutionary multi-objective optimization,
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This review is from: Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science) (Paperback)
Evolutionary multi-objective optimization is becoming more and more used these days, and most breakthroughs in this subject can be found in these proceedings (proceedings of EMO'03 are even better than EMO'01, the program committee did a wonderful job). These are not the standard technical proceedings whose intended audience are specialists in the field, anyone with a basic knowledge of evolutionary computation can understand these papers. The proceedings begin with short tutorials explaining what EMO is and after that about the first half deals with more theoretical aspects while the second part with applications.Reading these proceedings like a book is feasible (you may skip some papers you're not interested in) and most of the papers are very well written, so if you're interested in recent advances in EMO, reading these proceedings is almost required. The book by Kalyanmoy Deb (Multi-objective optimization using evolutionary algorithms) is nice but does not provide enough treatment from an applications perspective, but it constitutes a nice textbook to enter the subject of EMO anyway. Both EMO2001 and 2003 proceedings are "must-read" in evolutionary multi-objective optimization !
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First Sentence:
Evolutionary algorithms have been quite effective in dealing with single-objective "optimization" while the area of Evolutionary Multiobjective Optimization (EMOO) has extended its efficiency to Multiple Criteria Decision Making (MCDM) [10] as well. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Coello Coello, Lecture Notes, Springer-Verlag Berlin Heidelberg, New York, Morgan Kaufmann, John Wiley, Service Center, Kluwer Academic Publishers, Kalyanmoy Deb, Multiple Criteria Decision Making, Air Force Institute of Technology, Springer Verlag, Basel Committee, Grunert da Fonseca, Indian Institute of Technology, San Francisco, Banking Supervision, San Mateo, Water Resources Research, Artificial Life, University of Illinois, University of Sheffield, Von Misses, Department of Engineering, Engineering Optimization New!
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Evolutionary algorithms have been quite effective in dealing with single-objective "optimization" while the area of Evolutionary Multiobjective Optimization (EMOO) has extended its efficiency to Multiple Criteria Decision Making (MCDM) [10] as well. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Coello Coello, Lecture Notes, Springer-Verlag Berlin Heidelberg, New York, Morgan Kaufmann, John Wiley, Service Center, Kluwer Academic Publishers, Kalyanmoy Deb, Multiple Criteria Decision Making, Air Force Institute of Technology, Springer Verlag, Basel Committee, Grunert da Fonseca, Indian Institute of Technology, San Francisco, Banking Supervision, San Mateo, Water Resources Research, Artificial Life, University of Illinois, University of Sheffield, Von Misses, Department of Engineering, Engineering Optimization New!
Books on Related Topics Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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