This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
| ISBN: | 9783319541563 |
| Publication date: | 19th February 2017 |
| Author: | Heike Trautmann |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 702 pages |
| Series: | Theoretical Computer Science and General Issues |
| Genres: |
Numerical analysis Algorithms and data structures Mathematical theory of computation Artificial intelligence Network hardware |
This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
Evolutionary Multi-Criterion Optimization features in the following genres: Numerical analysis, Algorithms and data structures, Mathematical theory of computation, Artificial intelligence, Network hardware
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Evolutionary Multi-Criterion Optimization was written by Heike Trautmann and published by Springer International Publishing AG
Evolutionary Multi-Criterion Optimization has 702 pages
Yes it is part of Theoretical Computer Science and General Issues series
£40.49, reduced from £44.99. Not Available.