Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2632)
Conference series link(s): EMO: International Conference on Evolutionary Multi-Criterion Optimization
Conference proceedings info: EMO 2003.
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Table of contents (56 papers)
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Front Matter
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Objective Handling and Problem Decomposition
Keywords
- Adaptation
- algorithms
- evolution
- evolutionary algorithms
- genetic algorithms
- heuristics
- multi-criteria decision making
- multi-criterion optimization
- multi-objective optimization
- optimal solutions
- optimization
- pareto-optimal solutions
- problem solving
- scheduling
- searching
- algorithm analysis and problem complexity
Editors and Affiliations
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Faculty of Sciences and Technology, Centre for Intelligent Systems, University of the Algarve, Faro, Portugal
Carlos M. Fonseca
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Department of Automatic Control and Systems Engineering, University of Sheffield, UK
Peter J. Fleming
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Department of Electrical Engineering, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland
Eckart Zitzler, Lothar Thiele
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Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, Kanpur, UP, India
Kalyanmoy Deb
Bibliographic Information
Book Title: Evolutionary Multi-Criterion Optimization
Book Subtitle: Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003, Proceedings
Editors: Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Lothar Thiele, Kalyanmoy Deb
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-36970-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-01869-8Published: 07 April 2003
eBook ISBN: 978-3-540-36970-7Published: 03 August 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 820
Topics: Evolutionary Biology, Software Engineering/Programming and Operating Systems, Algorithm Analysis and Problem Complexity, Numeric Computing, Discrete Mathematics in Computer Science, Artificial Intelligence