Evolutionary Multi-Criterion Optimization
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| Title: | Evolutionary Multi-Criterion Optimization |
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| Description: | This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019.The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications. |
| Authors: | Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen |
| Resource Type: | eBook. |
| Subjects: | Algorithms, Artificial intelligence, Computer science, Computer science—Mathematics, Computer networks, Artificial intelligence—Data processing |
| Categories: | COMPUTERS / Programming / Algorithms, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Database Administration & Management, COMPUTERS / Networking / General, MATHEMATICS / Applied |
| Database: | eBook Index |
| Abstract: | This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019.The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications. |
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| ISBN: | 9783030125974 9783030125981 |