Jieli Jiang

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About

Dr. Jieli Jiang is a researcher whose work lies at the intersection of computational intelligence and robotics, with a particular focus on solving complex combinatorial optimization problems. Her most notable contribution is the development of a novel improved quantum genetic algorithm, introduced in her highly cited 2016 paper. This work addresses the robot coalition problem, a challenging task where multiple robots must be optimally grouped to complete a mission. By refining the rotation angle strategy of quantum gates within the quantum genetic algorithm, Dr. Jiang significantly enhanced the algorithm’s efficiency and solution quality. Her approach has garnered 7 citations, reflecting its value to researchers in swarm robotics and optimization. This achievement underscores her ability to bridge quantum-inspired computing with practical robotic coordination, offering a more effective tool for autonomous systems. Dr. Jiang’s research continues to influence the design of intelligent algorithms for multi-robot systems, making her a notable contributor to the field of computational robotics.