Numerical and Evolutionary Optimization – NEO 2017

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Numerical and Evolutionary Optimization – NEO 2017 by , Springer International Publishing
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Author: ISBN: 9783319961040
Publisher: Springer International Publishing Publication: July 12, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319961040
Publisher: Springer International Publishing
Publication: July 12, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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