Cheah Yong Chuan

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About

Cheah Yong Chuan is a researcher specializing in control systems, fuzzy logic, and meta-heuristic optimization, with a particular focus on the automation of gantry crane systems. His most-cited work, "Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS)" (2020), has garnered 15 citations, demonstrating its relevance in advancing intelligent control strategies for industrial applications. In this study, Cheah pioneered the integration of modern meta-heuristic algorithms to fine-tune fuzzy logic controllers, significantly improving the precision and stability of gantry crane operations—a critical contribution to material handling and logistics automation. By bridging classical control theory with computational intelligence, his work offers practical solutions for reducing sway and enhancing load positioning in dynamic environments. Cheah’s research stands out for its applied focus, directly addressing real-world challenges in manufacturing and transportation. With a growing citation impact, his contributions are shaping the next generation of adaptive control systems, making him a notable figure in the intersection of soft computing and industrial automation.