Advancements, Applications, and Emerging Trends in Computational Intelligence

P Geetha

P Geetha Student, Department of Civil Engineering, Rajalakshmi Engineering College, Rajalakshmi Nagar Thandalam, Chennai, India

Abstract

Computational Intelligence (CI) encompasses a broad range of techniques and methodologies designed to solve complex, real-world problems by mimicking natural processes and human cognition. This review article provides an in-depth exploration of key areas within CI, including Artificial Neural Networks (ANNs), Fuzzy Logic, Evolutionary Algorithms, Swarm Intelligence, and Machine Learning. It highlights the recent advancements in these fields and discusses their applications in various industries such as healthcare, finance, robotics, and industrial automation. Despite the significant progress made, several challenges persist, including issues related to scalability, explainability, generalization, and ethical considerations. This article concludes by discussing the future directions of CI research, emphasizing the importance of scalability, transparency, and fairness in the development of intelligent systems. The continued evolution of CI has the potential to further transform a wide range of sectors, driving innovations that could shape the future of technology and society.

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