Numerical and Evolutionary Optimization - NEO 2017 (Paperback, Softcover reprint of the original 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 785
Release date:	December 2018
First published:	2019
Editors:	Leonardo Trujillo • Oliver Schutze • Yazmin Maldonado • Paul Valle
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	312
Edition:	Softcover reprint of the original 1st ed. 2019
ISBN-13:	978-3-03-007144-8
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-007144-8
Barcode:	9783030071448

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