Numerical and Evolutionary Optimization - NEO 2017: 785 (Studies in Computational Intelligence)

Trujillo, Leonardo|Schütze, Oliver|Maldonado, Yazmin|Valle, Paul

ISBN 10: 3319961039 / ISBN 13: 9783319961033

Published by Springer, 2018

About this Item

privately owned book. as new from the publisher. - 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. 328 pp. Englisch.

Seller Inventory # ABE-1690984751959

Bibliographic Details

• Title: Numerical and Evolutionary Optimization - NEO 2017: 785 (Studies in Computational Intelligence)
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319961039
• ISBN 13: 9783319961033
• Binding: Hardcover
• Edition: 1. Auflage
• Condition: Wie neu

About this title

Synopsis

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.