Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11411)
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 2019.
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Table of contents (59 papers)
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Front Matter
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Theory
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Front Matter
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Algorithms
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Front Matter
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About this book
The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
Keywords
- artificial intelligence
- computer networks
- evolutionary algorithms
- evolutionary computation
- evolutionary multiobjective optimization
- genetic algorithms
- graph theory
- heuristic methods
- machine learning
- metaheuristics
- multiobjective optimization
- NSGA-II
- numerical methods
- optimal solutions
- pareto front
- pareto principle
- pareto-optimal
- problem solving
- simulated annealing
- telecommunication traffic
- algorithm analysis and problem complexity
Editors and Affiliations
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Michigan State University, East Lansing, USA
Kalyanmoy Deb, Erik Goodman
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CINVESTAV-IPN, Mexico, Mexico
Carlos A. Coello Coello
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University of Wuppertal, Wuppertal, Germany
Kathrin Klamroth
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University of Jyvaskyla, Jyväskylä, Finland
Kaisa Miettinen
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Otto von Guericke University Magdeburg, Magdeburg, Germany
Sanaz Mostaghim
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Cornell University, Ithaca, USA
Patrick Reed
Bibliographic Information
Book Title: Evolutionary Multi-Criterion Optimization
Book Subtitle: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings
Editors: Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-12598-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-12597-4Published: 04 February 2019
eBook ISBN: 978-3-030-12598-1Published: 28 February 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 757
Number of Illustrations: 146 b/w illustrations, 228 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Artificial Intelligence, Models and Principles, Mathematics of Computing, Computer Communication Networks, Data Structures
Industry Sectors: Aerospace, Biotechnology, Electronics, Energy, Utilities & Environment, IT & Software, Telecommunications