Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science) (Paperback)

by Eckart Zitzler (Editor), Kalyanmoy Deb (Editor), Lothar Thiele (Editor), Carlos A. Coello Coello (Editor), David Corne (Editor) "Multiple criteria decision making (MCDM) problems form an extensive field where the best possible compromise should be found by evaluating several conflicting objectives..." (more)
Key Phrases: ideal objective vector, elitism pressure, fuzzy boundary local perturbation, Springer-Verlag Berlin Heidelberg, Parallel Problem Solving, Computer Science (more...)

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Product Description
Proceedings of the First International Conference, EMO 2001, on Evolutionary Multi-Criterion Optimization, held in Zurich, Switzerland, March 7-9, 2001. Main topics covered include algorithm improvements, constraint handling and problem decomposition, and uncertainty and noise. Softcover.

Product Details

• Paperback: 712 pages
• Publisher: Springer; 1 edition (March 26, 2001)
• Language: English
• ISBN-10: 3540417451
• ISBN-13: 978-3540417453
• Product Dimensions: 9.2 x 5.9 x 1.1 inches
• Shipping Weight: 1.7 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
• Amazon.com Sales Rank: #4,941,168 in Books (See Bestsellers in Books)

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5.0 out of 5 stars The reference in evolutionary multi-objective optimization, May 29, 2003

By	Steve Uhlig (Delft, The Netherlands) - See all my reviews (REAL NAME)

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 !