Overview
- Presents state-of-the-art contributions in the field of computational intelligence applied to smart cities
- Represents effort of a diverse group of authors, and came from research results of three different workshops that were organized regarding this topic
- Serves as a useful source not only for the academic but also to the industry and cities managers
Part of the book series: Urban Computing (UC)
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Table of contents (18 chapters)
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Front Matter
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High-Performance Computational Tools Dedicated to Computational Intelligence
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Front Matter
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Simulating the Possibilities and Getting Ready for Real Applications
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Front Matter
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The Social Science Behind the Cities of the Future
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Front Matter
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Emerging Cities’ Services and Systems
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Front Matter
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Keywords
About this book
The idealization of this material emerged with a journey of free knowledge exchange from a diverse group of authors, who met each other through four different events (workshops and special sessions) organized with the purpose of boosting the concepts surrounding smart cities.
We believe that this book comprises innovative and precise information regarding state-of-the-art applications and ideas for the future of cities and society. It will surely be useful not only for the academic community but also to the industry professionals and city managers.
Editors and Affiliations
About the editors
Igor Machado Coelho received the B.S. in Computing from Federal University of Ouro Preto, Brazil, the M.S. and PhD degree in Algorithms and Optimization in 2015 at the Computing Institute of Fluminense Federal University, Niterói, Brazil. He is currently Adjunct Professor in Computer Science Department at State University of Rio de Janeiro. He is one of the creators and maintainer of the OptFrame project, a framework for combinatorial optimization and co-founder of distinct open-source projects and initiatives. His research interests include the resolution of challenging combinatorial optimization problems in fields of Vehicle Routing, Open-Pit Mining Operational Planning, Smart Grid, and the development of novel algorithms for emerging computing architectures.
Thays Aparecida de Oliveira received the B.S. in Business from Fedederal University of Ouro Preto, Brazil, the M.S. degree in Strategic Management, Marketing and Innovation in 2016 at the Federal University of Lavras, Brazil. Currently, she is as a PhD Candidate at the Department of Engineering and Information & Communication Technologies at Universitat Pompeu Fabra, Barcelona, Spain. Her research interests include citizens; works with population integration in urban centers, applying personal and web questionnaires; studies including consumer and citizens behavior. In the technological area, she is researching in the PhD relationships between citizens and digital cities, understanding citizens' necessities in the cities.
Luiz Satoru Ochi is full professor at the Universidade Federal Fluminense, Institute of Computer Science in Niteroi, Rio de Janeiro, Brazil. He obtained his B.Sc. in Mathematics and his PhD in Computing and Systems Engineering at COPPE in Federal University of Rio de Janeiro (UFRJ), Brazil. He was a visiting Professor at University of Colorado at Boulder - USA. He was the General Coordinator CAPES-COFECUB Project (Brazil & France), in Graphs and Algorithms, including UFF, UFRJ, University of Grenoble, from 1997-2000. He was Coordinator of the graduate course (Masters and PhD) in Computer Science at UFF. His is a Researcher 1C level with grant from the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tenológico - CNPq), Brazil. His research interests are MixedLinear Integer Programming, Operations Research, Metaheuristics, Computational Intelligence, Vehicle Routing Problem. He is the author of more than 290 research articles in chapter-books and specialized journals.
Bibliographic Information
Book Title: Smart and Digital Cities
Book Subtitle: From Computational Intelligence to Applied Social Sciences
Editors: Vitor Nazário Coelho, Igor Machado Coelho, Thays A.Oliveira, Luiz Satoru Ochi
Series Title: Urban Computing
DOI: https://doi.org/10.1007/978-3-030-12255-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-12254-6Published: 27 May 2019
Softcover ISBN: 978-3-030-12257-7Published: 28 October 2020
eBook ISBN: 978-3-030-12255-3Published: 16 May 2019
Series ISSN: 2510-2575
Series E-ISSN: 2510-2583
Edition Number: 1
Number of Pages: XV, 309
Number of Illustrations: 38 b/w illustrations, 53 illustrations in colour
Topics: Information Systems and Communication Service, Computational Intelligence, Urban Studies/Sociology