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Author EMO (Conference) (4th : 2007 : Sendai-shi, Miyagi-ken, Japan)

Title Evolutionary multi-criterion optimization : 4th international conference, EMO 2007, Matsushima, Japan, March 5-8, 2007 : proceedings / Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, [and] Tadahiko Murata, editors
Published Berlin ; New York : Springer, 2007

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Description 1 online resource (xix, 954 pages) : illustrations
Series Lecture notes in computer science ; 4403
Lecture notes in computer science ; 4403.
Contents Invited talks -- Algorithm design -- Algorithm improvements -- Alternative methods -- Applications -- Engineering design -- Many objectives -- Objective handling -- Performance assessments
Summary 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
Analysis algoritmen
algorithms
computeranalyse
computer analysis
computertechnieken
computer techniques
computerwetenschappen
computer sciences
kunstmatige intelligentie
artificial intelligence
numerieke methoden
numerical methods
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
Bibliography Includes bibliographical references at chapter ends, and author index
Notes Print version record
In Springer e-books
Subject Multiple criteria decision making -- Congresses
Mathematical optimization -- Congresses
Mathematical optimization.
Multiple criteria decision making.
Informatique.
Mathematical optimization
Multiple criteria decision making
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Ōbayashi, Shigeru., editor
Deb, Kalyanmoy., editor
Poloni, Carlo., editor
Hiroyasu, Tomoyuki., editor
Murata, Tadahiko, 1971- editor.
ISBN 9783540709282
3540709282
6610865078
9786610865079