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Title	An Overview Of Nature-Inspired Optimization Techniques For Smart Cities
ID_Doc	8932
Authors	Khan N.N.; Mahale Y.; Kulkarni K.; Pant S.; Kumar A.; Kotecha K.
Year	2024
Published	Nature-Inspired Optimization Algorithms for Cyber-Physical Systems
DOI	http://dx.doi.org/10.4018/979-8-3693-6834-3.ch007
Abstract	Nature-inspired optimization approaches play a vital role in fostering smart cities by adopting natural system efficiency. These approaches, which are founded on phenomena in biology, ecology, and physical science, optimize resource use, energy and transportation systems. They offer new possibilities for intelligent cities to mimic naturally occurring processes, which may lead to sustainable development. Besides renown for resilience, they possess high problem-solving capabilities that are critical in addressing in-city unforeseen challenges. The most recent publications explore opportunities for using such methods to optimize energy grids, traffic flows, waste recycling, and resources in smart cities. By combining AIML techniques with these algorithms, researchers are developing more powerful and adaptive models to address the evolving needs of modern urban environments. This study presents an overview of these innovative approaches in shaping the future of smart cities and promoting sustainability, efficiency, and resilience in urban infrastructure and services. © 2025, IGI Global Scientific Publishing.
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