Editors:
- Includes recent research on numerical and evolutionary optimization
- Presents the results of the Numerical and Evolutionary Optimization Workshop (NEO 2016) held in Tlalnepantla, Mexico
- Focuses on smart cities
Part of the book series: Studies in Computational Intelligence (SCI, volume 731)
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Table of contents (11 chapters)
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Front Matter
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Smart Cities
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Front Matter
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Search, Optimization and Hybrid Algorithms
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Front Matter
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Electronics and Embedded Systems
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Front Matter
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Back Matter
About this book
This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world and 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 experts from these and related fields to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes 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 all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal.
Editors and Affiliations
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Instituto Tecnológico de Tijuana, Tijuana, Mexico
Yazmin Maldonado, Leonardo Trujillo
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Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico
Oliver Schütze
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University of Strathclyde, Glasgow, United Kingdom
Annalisa Riccardi, Massimiliano Vasile
Bibliographic Information
Book Title: NEO 2016
Book Subtitle: Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico
Editors: Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-64063-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-64062-4Published: 21 September 2017
Softcover ISBN: 978-3-319-87712-9Published: 09 September 2018
eBook ISBN: 978-3-319-64063-1Published: 12 September 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 282
Number of Illustrations: 22 b/w illustrations, 124 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics