Numerical and Evolutionary Optimization – NEO 2017

Lieferzeit: Lieferbar innerhalb 14 Tagen

213,99 

Studies in Computational Intelligence 785

ISBN: 3030071448
ISBN 13: 9783030071448
Herausgeber: Leonardo Trujillo/Oliver Schütze/Yazmin Maldonado et al
Verlag: Springer Verlag GmbH
Umfang: xiv, 312 S., 137 s/w Illustr., 312 p. 137 illus.
Erscheinungsdatum: 22.12.2018
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 7678118 Kategorie:

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Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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