Description: Numerical and Evolutionary Optimization 2017 : Neo 2017, Hardcover by Trujillo, Leonardo (EDT); Schutze, Oliver (EDT); Maldonado, Yazmin (EDT); Valle, Paul (EDT), ISBN 3319961039, ISBN-13 9783319961033, Brand New, Free shipping in the US 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, th provides informative and stimulating material for future research in the field.
Price: 242.4 USD
Location: Jessup, Maryland
End Time: 2025-01-15T22:54:10.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Numerical and Evolutionary Optimization 2017 : Neo 2017
Number of Pages: Xiv, 312 Pages
Language: English
Publication Name: Numerical and Evolutionary Optimization-Neo 2017
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Engineering (General), Intelligence (Ai) & Semantics
Item Weight: 23.2 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Author: Oliver Schuetze
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover