Marziye Abdollahi

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About

Marziye Abdollahi is a leading researcher in robotics and computational intelligence, with a primary focus on autonomous navigation and path planning. Her most influential work introduces a pioneering application of memetic algorithms—a hybrid of evolutionary computation and local search—to solve the optimal collision-free path planning problem for mobile robots. In her landmark 2007 paper, which has accumulated 30 citations across its versions, Abdollahi proposed a novel solution representation for evolutionary algorithms that dramatically improves efficiency in generating safe, shortest paths in complex environments. This contribution addresses a core challenge in mobile robotics: enabling autonomous systems to navigate dynamically without human intervention. Her approach stands out for its ability to balance exploration and exploitation, ensuring both global optimality and computational speed. Abdollahi’s research has significant implications for real-world applications, from warehouse automation to autonomous vehicles, and her work continues to inspire advances in evolutionary robotics. By integrating memetic algorithms with path planning, she has provided a robust framework that enhances the reliability and intelligence of autonomous systems, marking her as a key innovator in the field.