Journal of Computing and Natural Science


A Survey on Design, Applications and Limitations of Computational Intelligence



Journal of Computing and Natural Science

Received On : 16 September 2022

Revised On : 10 November 2022

Accepted On : 12 January 2023

Published On : 05 July 2023

Volume 03, Issue 03

Pages : 124-135


Abstract


Computational Intelligence (CI) is a branch of Artificial Intelligence (AI), which deals with the designing and enhancement of intelligent models with the ability to process and assess big data. The segment of CI has developed significantly over the past few decades due to the enhancement of AI and soft computing approaches, techniques, and tools, which envision the status of intelligence embedded in reality observation. This research contribution provides a critical survey of CI designs and its different applications. This research provides a description of the major methods, techniques and concepts in the field of CI, including smart system designs, CI types, and practical applications in different fields. The research also presents an analysis of limitations and challenges of CI, and provides insight into the results, effects and future research. The main purpose of this study is to provide a detailed understanding of CI applications and design; making is a vital resource for practitioners, and researchers in the field of AI.


Keywords


Computational intelligence, artificial neural networks, evolutionary algorithms, fuzzy systems, intelligent systems, swarm intelligence.


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The authors would like to thank to the reviewers for nice comments on the manuscript.


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Cite this article


Ali-Кhusein, “A Survey on Design, Applications and Limitations of Computational Intelligence”, Journal of Computing and Natural Science, vol.3, no.3, pp. 124-135, July 2023. doi: 10.53759//181X /JCNS/202303012.


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© 2023 Ali-Кhusein. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.