Trong Bac Bui

Papers

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About

Dr. Trong Bac Bui is a leading researcher in computational intelligence, specializing in multiobjective evolutionary fuzzy systems, surrogate-assisted optimization, and their applications in robotics and control. His work focuses on developing advanced algorithms that enhance the learning efficiency and performance of fuzzy controllers, addressing complex real-world problems. Dr. Bui’s most-cited paper, “Reinforcement Neural Fuzzy Surrogate-Assisted Multiobjective Evolutionary Fuzzy Systems With Robot Learning Control Application” (2019, 44 citations), introduces a novel reinforcement neural fuzzy surrogate (RNFS)-assisted multiobjective evolutionary optimization algorithm. This work significantly boosts the learning efficiency of data-driven fuzzy controllers, with a direct application to robot wall-following control. Another key contribution is his “Multiobjective Rule-Based Cooperative Continuous Ant Colony Optimized Fuzzy Systems With a Robot Control Application” (2018, 25 citations), which proposes a rule-based cooperative framework for multiobjective evolutionary fuzzy systems. By optimizing all free parameters in fuzzy systems using a multiobjective rule-based cooperative continuous ant-colony optimization algorithm, Dr. Bui has advanced the field of intelligent control. His research has garnered substantial citations, reflecting its impact on both theoretical and applied domains. Dr. Bui’s work is particularly notable for bridging the gap between evolutionary computation and fuzzy logic, offering practical solutions for autonomous systems and robotics.