Multiobjective Optimization Interactive and Evolutionary Approaches
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable soluti
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Jürgen Branke Kalyanmoy Deb Kaisa Miettinen Roman Słowi´nski (Eds.)
Multiobjective Optimization Interactive and Evolutionary Approaches
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Volume Editors Jürgen Branke University of Karlsruhe, Institute AIFB 76128 Karlsruhe, Germany E-mail: [email protected] Kalyanmoy Deb Indian Institute of Technology Kanpur, Department of Mechanical Engineering Kanpur 208016, India E-mail: [email protected] and Helsinki School of Economics, Department of Business Technology P.O. Box 1210, 00101 Helsinki, Finland E-mail: kalyanmoy.deb@hse.fi Kaisa Miettinen University of Jyväskylä, Department of Mathematical Information Technology P.O. Box 35 (Agora), 40014 University of Jyväskylä, Finland E-mail: kaisa.miettinen@jyu.fi Roman Słowi´nski Poznan University of Technology, Institute of Computing Science 60-965 Poznan, Poland E-mail: [email protected] and Systems Research Institute, Polish Academy of Sciences 00-441 Warsaw, Poland Library of Congress Control Number: 2008937576 CR Subject Classification (1998): F.1, F.2, G.1.6, G.2.1, G.1 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-540-88907-8 Springer Berlin Heidelberg New York 978-3-540-88907-6 Springer Berlin Heidelberg New York
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Preface
Optimization is the task of finding one or more solutions which correspond to minimizing (or
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