Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12654)
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 2021.
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Table of contents (62 papers)
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Front Matter
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Algorithms
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Front Matter
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Dynamic Multi-objective Optimization
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Front Matter
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About this book
The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.
Keywords
- artificial intelligence
- correlation analysis
- evolutionary algorithms
- evolutionary multiobjective optimization
- genetic algorithms
- machine learning
- multi-objective evolutionary algorithms
- multi-objective optimization
- multi-objective optimization problem
- nsga-ii
- optimal solutions
- optimization problems
- pareto front
- pareto principle
Editors and Affiliations
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Southern University of Science and Technology, Shenzhen, China
Hisao Ishibuchi, Ran Cheng
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City University of Hong Kong, Kowloon Tong, China
Qingfu Zhang
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University of Exeter, Exeter, UK
Ke Li
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Xi'an Jiaotong University, Xi'an, China
Hui Li
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Xidian University, Xi'an, China
Handing Wang
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East China Normal University, Shanghai, China
Aimin Zhou
Bibliographic Information
Book Title: Evolutionary Multi-Criterion Optimization
Book Subtitle: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings
Editors: Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-72062-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-72061-2Published: 24 March 2021
eBook ISBN: 978-3-030-72062-9Published: 24 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 781
Number of Illustrations: 42 b/w illustrations, 193 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Theory of Computation, Artificial Intelligence, Mathematics of Computing