Evolutionary Multi-Criterion Optimization
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| Název: | Evolutionary Multi-Criterion Optimization |
|---|---|
| Popis: | 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. |
| Autoři: | Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li |
| Resource Type: | eBook. |
| Témata: | Mathematical optimization--Congresses, Evolutionary computation--Congresses |
| Categories: | COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / General, MATHEMATICS / Applied |
| Databáze: | eBook Index |
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