
Evolutionary Multi-Criterion Optimization
4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings
Springer (Publisher)
Published on 12. February 2007
Book
Paperback/Softback
XIX, 954 pages
978-3-540-70927-5 (ISBN)
Description
Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5-8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zürich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, México in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems.
More details
Series
Edition
2007 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIX, 954 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 53 mm
Weight
1451 gr
ISBN-13
978-3-540-70927-5 (9783540709275)
DOI
10.1007/978-3-540-70928-2
Schweitzer Classification
Content
Invited Talks.- Algorithm Design.- Algorithm Improvements.- Alternative Methods.- Applications.- Engineering Design.- Many Objectives.- Objective Handling.- Performance Assessments.