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Evolutionary Multi-Criterion Optimization

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Evolutionary Multi-Criterion Optimization Synopsis

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.

About This Edition

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