Evolutionary Multi-Criterion Optimization / Lecture Notes in Computer Science Bd.12654 (PDF)
11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings
(Sprache: Englisch)
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...
The 47 full papers and 14 short papers were carefully reviewed and...
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Produktinformationen zu „Evolutionary Multi-Criterion Optimization / Lecture Notes in Computer Science Bd.12654 (PDF)“
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.
Bibliographische Angaben
- 2021, 1st ed. 2021, 781 Seiten, Englisch
- Herausgegeben: Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou
- Verlag: Springer International Publishing
- ISBN-10: 3030720624
- ISBN-13: 9783030720629
- Erscheinungsdatum: 24.03.2021
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 64 MB
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Sprache:
Englisch
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