TY - BOOK ID - 5452480 TI - Evolutionary Multi-Criterion Optimization : 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings AU - Obayashi, Shigeru. AU - Deb, Kalyanmoy. AU - Poloni, Carlo. AU - Hiroyasu, Tomoyuki. AU - Murata, Tadahiko. AU - EMO 2007 PY - 2007 SN - 9783540709275 3540709274 9786610865079 1280865075 3540709282 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Multiple criteria decision making KW - Mathematical optimization KW - Optimisation mathématique KW - Congresses. KW - Congrès KW - Computer Science KW - Operations Research KW - Civil & Environmental Engineering KW - Engineering & Applied Sciences KW - Computer science. KW - Algorithms. KW - Numerical analysis. KW - Artificial intelligence. KW - Computer Science. KW - Algorithm Analysis and Problem Complexity. KW - Numeric Computing. KW - Artificial Intelligence (incl. Robotics). KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Mathematical analysis KW - Algorism KW - Algebra KW - Arithmetic KW - Informatics KW - Science KW - Foundations KW - Computer software. KW - Electronic data processing. KW - Artificial Intelligence. KW - ADP (Data processing) KW - Automatic data processing KW - Data processing KW - EDP (Data processing) KW - IDP (Data processing) KW - Integrated data processing KW - Computers KW - Office practice KW - Software, Computer KW - Computer systems KW - Automation KW - Numerical Analysis. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5452480 AB - 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. ER -