Research Trends in Artificial Intelligence and Nature Inspired Techniques

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Abstract

Giving the machine the thinking capability is the most versatile of all human inventions. Artificial Intelligence is the most prominent research area in today’s world. Nature inspired Algorithms are other most popular optimization techniques used in various domains. Researchers have implemented several nature inspired techniques using data mining functionalities for wireless sensors, Artificial Intelligence, etc. The latest research suggests the use of nature inspired techniques in Artificial Intelligence and for the Internet of things. In this paper, research trends for the application of nature inspired techniques in artificial intelligence are analyzed using data from Web of Science and Scopus databases. Data is analyzed globally. Cluster analysis of related keywords is computed along with link strength. Various other experiments are also conducted which help analyze research trends in Artificial Intelligence and nature inspired techniques.

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Aggarwal, S., Verma, A., & Singh, J. (2023). Research Trends in Artificial Intelligence and Nature Inspired Techniques. In Lecture Notes in Networks and Systems (Vol. 540, pp. 163–170). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6088-8_15

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