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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

Designing for Sustainability

Panos M Pardalos editor Stamatina Th Rassia editor Arsenios Tsokas editor

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:10th Jan '22

Should be back in stock very soon

This hardback is available in another edition too:

Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities cover

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.

Special features include:

  • New research on the design of city elements and smart systems with respect to new technologies and scientific thinking
  • Discussions on the theoretical background that lead to smart cities for the future
  • New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments

The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.

“The book’s 11 chapters deal with digital ‘vitalism’ in cities … . The chapters are useful for looking at the urban fabric for smart cities, including resiliency, responsiveness, elasticity, interconnection, and asynchronicity between components. … This book therefore immerses readers in many fundamental changes that conceptually model the urban fabric through topics related to artificial intelligence (AI) and machine learning(ML).” (Romina Fucà, Computing Reviews, May 22, 2023)

ISBN: 9783030844585

Dimensions: unknown

Weight: unknown

235 pages

1st ed. 2022