Robotics & Machine Learning Daily News2024,Issue(Apr.4) :52-53.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.4) :52-53.

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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Abstract

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.”

Key words

Qingdao/People’s Republic of China/Asi a/Algorithms/Ant Colony Optimization/Emerging Technologies/Machine Learning/Robot/Robotics/China University of Petroleum (East China)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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