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Evolutionary Multi Criterion Optimization 11th (9 results)
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Condition: As New. Unread book in perfect condition.
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Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings (Theoretical Computer Science and General Issues)
Book 298 of 300: Lecture Notes in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Evolutionary Multi-criterion Optimization : 11th International Conference, Emo 2021, Shenzhen, China, March 28?31, 2021, Proceedings
Book 298 of 300: Lecture Notes in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Evolutionary Multi-criterion Optimization : 11th International Conference, Emo 2021, Shenzhen, China, March 28?31, 2021, Proceedings
Book 298 of 300: Lecture Notes in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 107.90
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Evolutionary Multi-Criterion Optimization : 11th International Conference, EMO 2021, Shenzhen, China, March 28ż31, 2021, Proceedings
Book 298 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030720616 ISBN 13: 9783030720612
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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