首页|Study Data from Zhengzhou University of Light Industry Provide New Insights into Robotics (A Hybrid Strategy-based Gjo Algorithm for Robot Path Planning)
Study Data from Zhengzhou University of Light Industry Provide New Insights into Robotics (A Hybrid Strategy-based Gjo Algorithm for Robot Path Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics have been publi shed. According to news reporting out of Zhengzhou, People’s Republic of China, by NewsRx editors, research stated, “Addressing the challenges of low convergenc e accuracy , stagnation at local optima in the application of the golden jackal optimizer (GJO) to mobile robot path planning, this paper proposes a hybrid stra tegy-based golden jackal optimizer (HGJO) algorithm. The improved algorithm empl oys a pre-decreasing slow nonlinear energy decay strategy to balance the global and local search capabilities.”
ZhengzhouPeople’s Republic of ChinaA siaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsZheng zhou University of Light Industry
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