Cinthia Peraza
Instituto Tecnológico de Tijuana, Tecnológico Nacional de México
Papers
7
Total Citations
128
H-Index
6
About
Cinthia Peraza is a leading researcher in computational intelligence, specializing in the optimal design of fuzzy logic controllers and metaheuristic optimization algorithms. Her work bridges Type-1, interval Type-2, and interval Type-3 fuzzy systems with evolutionary algorithms, such as differential evolution and harmony search, to dynamically adapt controller parameters for improved performance. Her most cited paper, "Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm" (2017, 39 citations), pioneered dynamic parameter adaptation in harmony search using fuzzy logic. She further advanced the field with "Interval-Type 3 Fuzzy Differential Evolution for Designing an Interval-Type 3 Fuzzy Controller of a Unicycle Mobile Robot" (2022, 33 citations), introducing vertical cuts for parameterizing higher-order fuzzy systems. Peraza has also explored bio-inspired optimization, as in "An Efficient Chicken Search Optimization Algorithm for the Optimal Design of Fuzzy Controllers" (2021, 21 citations), and applied fuzzy control to robotics, including velocity regulation in Lego Mindstorms humanoids. With over 128 citations across her top works, her contributions are foundational for developing adaptive, intelligent control systems in robotics and automation.
Research Focus
Key Achievements
Top Papers
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