首页|Studies from China University of Petroleum (East China) Describe New Findings in Robotics (Multi-strategy Adaptable Ant Colony Optimization Algorithm and Its Ap plication In Robot Path Planning)
Studies from China University of Petroleum (East China) Describe New Findings in Robotics (Multi-strategy Adaptable Ant Colony Optimization Algorithm and Its Ap plication In Robot Path Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. Acc ording to news reporting originating fromQingdao, People’s Republic of China, b y NewsRx correspondents, research stated, “As a widely usedpath planning algori thm, the ant colony optimization algorithm (ACO) has evolved into a welldevelope dmethod within the realm of optimization algorithms and has been extensively ap plied across various fields.In this study, a multi-strategy adaptable ant colon y optimization (MsAACO) is proposed to alleviate theinsufficient and inefficien t convergence of ACO, employing four-design improvements.”
QingdaoPeople’s Republic of ChinaAsi aAlgorithmsAnt Colony OptimizationEmerging TechnologiesMachine LearningRobotRoboticsChina University of Petroleum (East China)
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