Editors:
- State-of-the-art research.
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6576)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): EMO: International Conference on Evolutionary Multi-Criterion Optimization
Conference proceedings info: EMO 2011.
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Table of contents (42 papers)
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Front Matter
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Theoretical Issues
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Algorithms
About this book
Keywords
- adaptive search
- artificial immune systems
- computational intelligence
- dynamic optimization
- evolutionary algorithms
- genetic algorithms
- heuristics
- interactive algorithms
- mixed-integer optimization
- objectives correlation
- online algorithms
- pareto-optimal solutions
- preference-driven algorithms
- probabilistic modeling
- rough sets
- variable preference modeling
- algorithm analysis and problem complexity
Editors and Affiliations
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Department of Mathematics, Federal University of Minas Gerais, Belo Horizonte, Brazil
Ricardo H. C. Takahashi
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Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Kalyanmoy Deb
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Department of Computer Engineering, Centro Federal de Educaçao Tecnológica de Minas Gerais, Belo Horizonte, Brazil
Elizabeth F. Wanner
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Faculty of Economics, University of Catania, Catania, Italy
Salvatore Greco
Bibliographic Information
Book Title: Evolutionary Multi-Criterion Optimization
Book Subtitle: 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011, Proceedings
Editors: Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, Salvatore Greco
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-19893-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-19892-2Published: 14 March 2011
eBook ISBN: 978-3-642-19893-9Published: 25 March 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 620
Topics: Algorithm Analysis and Problem Complexity, Numeric Computing, Artificial Intelligence, Optimization, Computational Intelligence