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This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.
The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
- Sales Rank: #12032397 in Books
- Brand: Eckart Zitzler
- Published on: 2001-03-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 1.65" w x 6.10" l, 2.22 pounds
- Binding: Paperback
- 714 pages
- Evolutionary Multi Criterion Optimization
Most helpful customer reviews
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The reference in evolutionary multi-objective optimization
By Steve Uhlig
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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