Nature-Inspired Algorithms and Smart City Applications

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Author(s): Richard C. Millham (Durban University of Technology, South Africa), Israel Edem Agbehadji (Durban University of Technology, South Africa)and Emmanuel Freeman (Ghana Communication Technology University, Ghana)
Copyright: 2023
Pages: 20
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch135

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

The paradigm of the fourth industrial revolution has presented a unique opportunity to interconnect the cyber-physical space. The objective of this interconnection is to encourage the fusion of technologies from physical, digital, and biological spheres to encourage digitization of resources ranging from building, cars, hospital, schools, energy, and many more. It is expected that such resources can make independent decisions on their state to avoid human intervention in monitoring the state of these resources which have their direct and indirect cost implication. Having an intelligent resource monitoring regime forms the underlying structure of cyber-physical space. In this article, the authors focus on the future of integrated nature-inspired algorithms in helping create an optimized resource monitoring regime towards the smart city applications.

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