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Evolutionary Multi-Criterion Optimization

9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10173)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EMO 2017.

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About this book

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.

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Keywords

Table of contents (46 papers)

Other volumes

  1. Evolutionary Multi-Criterion Optimization

Editors and Affiliations

  • University of Münster, Münster, Germany

    Heike Trautmann, Christian Grimme

  • TU Dortmund University, Dortmund, Germany

    Günter Rudolph

  • University of Wuppertal, Wuppertal, Germany

    Kathrin Klamroth

  • CINVESTAV-IPN, Mexico City, Mexico

    Oliver Schütze

  • Clemson University, Clemson, USA

    Margaret Wiecek

  • University of Surrey, Guildford, United Kingdom

    Yaochu Jin

Bibliographic Information

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