Editors:
- Presents recent research in both search and optimization topics as well as real world problems
- Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at Sept. 23-25 2015 in Tijuana, Mexico
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 663)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (17 chapters)
-
Front Matter
-
Combinatorial Optimization
-
Front Matter
-
-
Multi-objective Optimization
-
Front Matter
-
-
Machine Learning and Real World Applications
-
Front Matter
-
About this book
This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others.
The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal.
Editors and Affiliations
-
Departamento de Comput Cinvestav-IPN, Mexico, Mexico
Oliver Schütze
-
Posgrado en Ciencias de la Ingeniería, Instituto Tecnológico de Tijuana, Tijuana, Mexico
Leonardo Trujillo, Yazmin Maldonado
-
Université de Bordeaux, Bordeaux, France
Pierrick Legrand
Bibliographic Information
Book Title: NEO 2015
Book Subtitle: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico
Editors: Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmin Maldonado
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-44003-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-44002-6Published: 30 August 2016
Softcover ISBN: 978-3-319-82957-9Published: 15 June 2018
eBook ISBN: 978-3-319-44003-3Published: 15 September 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 444
Number of Illustrations: 91 b/w illustrations, 107 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Optimization, Computer Imaging, Vision, Pattern Recognition and Graphics, Big Data/Analytics