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|a 9783540709282
|9 978-3-540-70928-2
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|a 10.1007/978-3-540-70928-2
|2 doi
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|a QA76.9.A43
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|a Evolutionary Multi-Criterion Optimization
|h [electronic resource] :
|b 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings /
|c edited by Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2007.
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|a XIX, 954 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 4403
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|a Invited Talks -- Algorithm Design -- Algorithm Improvements -- Alternative Methods -- Applications -- Engineering Design -- Many Objectives -- Objective Handling -- Performance Assessments.
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|a 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.
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|a Computer science.
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|a Algorithms.
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|a Numerical analysis.
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|a Artificial intelligence.
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|a Computer Science.
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|a Algorithm Analysis and Problem Complexity.
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|a Numeric Computing.
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|a Artificial Intelligence (incl. Robotics).
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|a Obayashi, Shigeru.
|e editor.
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|a Deb, Kalyanmoy.
|e editor.
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| 700 |
1 |
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|a Poloni, Carlo.
|e editor.
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| 700 |
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|a Hiroyasu, Tomoyuki.
|e editor.
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| 700 |
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|a Murata, Tadahiko.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783540709275
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 4403
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-540-70928-2
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
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