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Numerical and Evolutionary Optimization – NEO 2017

Edited by Leonardo Trujillo, Edited by Oliver SchÃ¼tze, Edited by Yazmin Maldonado, Edited by Paul Valle

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| book description |

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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Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer International Publishing AG
Published date | 13 Jul 2018
Language |
Format | Hardback
Pages | 312
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3199-6103-3
Readership Age |
BISAC | computers / artificial intelligence

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