TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-72062-9
DO  - doi
AB  - 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.
T1  - Evolutionary multi-criterion optimization :11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, proceedings /
AU  - Ishibuchi, Hisao,
AU  - Zhang, Qingfu,
AU  - Cheng, Ran
AU  - Li, Ke,
AU  - Li, Hui,
AU  - Wang, Handing,
AU  - Zhou, Aimin,
VL  - 12654
CN  - QA402.5
ID  - 1435150
KW  - Mathematical optimization
KW  - Evolutionary computation
KW  - Optimisation mathématique
KW  - Réseaux neuronaux à structure évolutive
SN  - 9783030720629
SN  - 3030720624
SN  - 9783030720636
SN  - 3030720632
TI  - Evolutionary multi-criterion optimization :11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72062-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72062-9
ER  -