CISC 2018 - Special Session on Computational Intelligence for Smart Cities

Organizers:
Enrique​ Alba​ (Professor),​ University​ of​ Malaga,​ Spain (link)
Konstantinos​ Parsopoulos​​ (Associate​ Professor),​ University​ of​ Ioannina,​ Greece (link)
Description:
Global urbanization is continuously reshaping our world. More than half of the world's population is currently living in urban areas, with predictions adding 2.5 billion people to the cities over the next few decades. This transformation provides great opportunities for cultural and economic growth. However, it also comes along with a number of challenging problems such as overpopulation in metropolitan areas, cost of living, environmental pollution, and inadequate infrastructures, among others. Smart cities attempt to provide solutions to the continuously growing needs by integrating information technologies and interconnected devices in urban environments. This allows the collection and interpretation of huge amounts of data that are used for optimizing various aspects of the cities operation through the design and modeling of ad hoc solutions and systems. Smart transportation systems, smart buildings, smart communications and energy networks are some of the​ ​most​ active​ research​ areas​ in​ this​ domain.
Computational intelligence (C.I.) has played a significant role in most complex systems existing till now, and they are also expected to have a prominent position in smart cities. Its constituent methodologies such as machine learning, data science, artificial neural networks, evolutionary algorithms, swarm intelligence, and fuzzy logic offer computationally efficient methodologies for modeling, analyzing, and optimizing smart cities systems. Indeed, computational intelligence is one important way to build to the “smart” part of the city. The interplay of such approaches with operations research and many other domains (civil engineering, urban planning, policy makers, companies...) can offer innovative and sustainable solutions to problems of high complexity. So far, computational intelligence methodologies reckons a large number of applications in smart cities, including smart transportation systems, smart logistics, smart energy grids, smart resources integration​ and​ pollution​ monitoring.
The present special session welcomes works on any aspect of computational intelligence in smart cities​ environments,​ both​ theoretical​ and​ applied,​ including:
Computational​ intelligence​ in​ smart​ transportations​ and​ logistics
Computational​ intelligence​ in​ urban​ mobility​ and​ planning
Computational​ intelligence​ in​ smart​ energy​ systems
Computational​ intelligence​ in​ sustainability​ (environmental,​ social,​ economic)
Computational​ intelligence​ in​ smart​ homes​ and​ Internet​ of​ Things
Computational​ intelligence​ in​ smart​ healthcare​ systems
Computational​ intelligence​ in​ governance
Computational​ intelligence​ for​ people​ and​ good​ living
Computational​ intelligence​ to​ tourism​ and​ entertainment​ in​ the​ city
Computational​ intelligence​ in​ circular​ economy
Cyberphysical​ systems​ and​ Internet​ of​ Things​ coupled​ with​ C.I.
Computational​ intelligence​ for​ security,​ big​ data,​ open​ data,​ and​ software​ for​ cities
Applications involving efficient learning and optimization methodologies for this type of problems are​ strongly​ encouraged.