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Evolutionary Multi-Criterion Optimization

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Evolutionary Multi-Criterion Optimization Synopsis

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021.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.

About This Edition

ISBN: 9783030720612
Publication date:
Author: Hisao Ishibuchi
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 781 pages
Series: Theoretical Computer Science and General Issues
Genres: Mathematical theory of computation
Artificial intelligence
Maths for computer scientists