Theoretical Computer Science and General Issues

Evolutionary Multi-Criterion Optimization

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

Editors: Trautmann, H., Rudolph, G., Klamroth, K., Schütze, O., Wiecek, M., Jin, Y., Grimme, C. (Eds.)

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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.

Table of contents (46 chapters)

Table of contents (46 chapters)
  • On the Effect of Scalarising Norm Choice in a ParEGO implementation

    Pages 1-15

    Aghamohammadi, Naveed Reza (et al.)

  • Multi-objective Big Data Optimization with jMetal and Spark

    Pages 16-30

    Barba-Gonzaléz, Cristóbal (et al.)

  • An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization

    Pages 31-45

    Bezerra, Leonardo C. T. (et al.)

  • Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms

    Pages 46-60

    Blank, Julian (et al.)

  • Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation

    Pages 61-76

    Blot, Aymeric (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-3-319-54157-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
  • ISBN 978-3-319-54156-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Multi-Criterion Optimization
Book Subtitle
9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings
Editors
  • Heike Trautmann
  • Günter Rudolph
  • Kathrin Klamroth
  • Oliver Schütze
  • Margaret Wiecek
  • Yaochu Jin
  • Christian Grimme
Series Title
Theoretical Computer Science and General Issues
Series Volume
10173
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-54157-0
DOI
10.1007/978-3-319-54157-0
Softcover ISBN
978-3-319-54156-3
Edition Number
1
Number of Pages
XIV, 702
Number of Illustrations
267 b/w illustrations
Topics