Numerical and Evolutionary Optimization - NEO 2017

Name: Numerical and Evolutionary Optimization - NEO 2017
Brand: Springer Nature Switzerland AG
SKU: 9783030071448
Price: 4566 CZK
Availability: InStock

Autor: Yazmin Maldonado, Oliver Schütze, Leonardo Trujillo, Paul Valle

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) works...

Informace o knize

Autor

Yazmin Maldonado, Oliver Schütze, Leonardo Trujillo, Paul Valle

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2018

Stránek

312

EAN

9783030071448

ISBN

3030071448

Enbook ID

21348447

Vydavatel

Springer Nature Switzerland AG

Hmotnost

504

Rozměry

155 x 235 x 18

Kompletní popis

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.

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Numerical and Evolutionary Optimization - NEO 2017

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