Smart and Digital Cities

1. Introduction.- Part I: High performance computational tools dedicated to computational intelligence.- 2. Urban Mobility in Multimodal Networks using Multi-objective Algorithms.- 3 Urban transport and traffic systems: an approach to the shortest path problem and network flow through colored graphs.- 4 An Adaptive Large Neighborhood Search Heuristic to solve the Crew Scheduling Problem.- 5. Proposal for analysis of location of popular residential using the p-median.- 6. An Ant Colony System Metaheuristic applied to a cooperative of recyclable materials of Sorocaba: a case study.- 7. Multilevel optimization applied to project of access networks for implementation of intelligent cities.- 8. A Comparison of Regression Techniques for the Residential Energy Consumption Forecast in the Brazilian Scenario.- Part II: Simulating the possibilities and getting ready for real applications.- 9 Simulation and evaluation of a Model for Assistive Smart City.- 10. Realistic Vehicular Networks Simulations.- 11. LoRaWan: Low Cost Solution for Smart Cities.- Part III: The social science behind the cities of the future.- 12. Digital cities and emerging technologies.- 13. A multi-criteria view about judicial and legislative decision making in digital cities and societies.- 14. Smart Planning: tools, concepts and approaches for a sustainable digital transformation.- Part IV: Emerging cities' services and systems.- 15. When CI and decentralized systems effectively meet smart cities and grids.- 16. Optimal Energy Trading Policy for Solar-Powered Microgrids: a modeling approach based on Plug-in Hybrid Electric Vehicles.- 17. UAVs and their role in future cities and industries.- 18. Critical systems for Smart Cities: towards certifying software.

Vitor Nazario Coelho is a researcher engaged in scientific and social causes. Technician in Electronic Instrumentation, Control and Automation Engineering, PhD degree in Electrical Engineering of Federal University of Minas Gerais. Doctor in Electrical Engineering, in the field of Computational Intelligence, by the Pós-Graduação em Engenharia Elétrica (PPGEE) the Universidade Federal de Minas Gerais (UFMG), finishing his PhD in 2 years, with 25 years old, without attending Master studies. During the PhD, Vitor did an exchange period at the University of Sheffield (England), in partnership with the Rolls Royce Technology Center in Control and Systems Engineering, and at ORT Braude College of Engineering (Israel), as a Marie Curie researcher for the European Commission as part of the Seventh Framework Program (FP7). Thesis awarded as the best one in the Engineering area in the year of 2016 of UFMG. Between 2016 and 2018, he was a Post-Doctorate researcher in partnership with the Universidade Federal Fluminense, supported by the outstanding program PDR-10/FAPERJ program. Currently, he acts as an autonomous developer, researcher, investor and partner of different projects.
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