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Studies in Computational Intelligence

Numerical and Evolutionary Optimization – NEO 2017

Editors: Trujillo, L., Schütze, O., Maldonado, Y., Valle, P. (Eds.)

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  • Presents recent numerical and evolutionary optimization research
  • Includes the outcomes of the Numerical and Evolutionary Optimization (NEO 2017) workshop held in Tijuana, Mexico
  • Written by experts in the field
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eBook $219.00
price for USA in USD (gross)
  • ISBN 978-3-319-96104-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.99
price for USA in USD
  • ISBN 978-3-319-96103-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.99
price for USA in USD
  • ISBN 978-3-030-07144-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Deterministic Parameter Control in Differential Evolution with Combined Variants for Constrained Search Spaces

    Pages 3-28

    Ramos-Figueroa, Octavio (et al.)

  • A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems

    Pages 29-61

    Gebken, Bennet (et al.)

  • Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent

    Pages 62-86

    Blom, Koen (et al.)

  • Fitting Multiple Ellipses with PEARL and a Multi-objective Genetic Algorithm

    Pages 89-107

    Cruz Hernández, Heriberto (et al.)

  • Analyzing Evolutionary Art Audience Interaction by Means of a Kinect Based Non-intrusive Method

    Pages 108-123

    Fernández de Vega, Francisco (et al.)

Buy this book

eBook $219.00
price for USA in USD (gross)
  • ISBN 978-3-319-96104-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.99
price for USA in USD
  • ISBN 978-3-319-96103-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.99
price for USA in USD
  • ISBN 978-3-030-07144-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Numerical and Evolutionary Optimization – NEO 2017
Editors
  • Leonardo Trujillo
  • Oliver Schütze
  • Yazmin Maldonado
  • Paul Valle
Series Title
Studies in Computational Intelligence
Series Volume
785
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-96104-0
DOI
10.1007/978-3-319-96104-0
Hardcover ISBN
978-3-319-96103-3
Softcover ISBN
978-3-030-07144-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 312
Number of Illustrations
137 b/w illustrations
Topics