Robotics & Machine Learning Daily News2024,Issue(Oct.31) :165-166.

Researchers from School of Mechanical Engineering Report Recent Findings in Robo tics (Path Optimization in Robotic Welding of Plate Heat Exchangers: An Improved Ant Colony Approach)

Robotics & Machine Learning Daily News2024,Issue(Oct.31) :165-166.

Researchers from School of Mechanical Engineering Report Recent Findings in Robo tics (Path Optimization in Robotic Welding of Plate Heat Exchangers: An Improved Ant Colony Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on robotics are discussed in a new report. According to news reporting originating from the School of Mechanica l Engineering by NewsRx correspondents, research stated, "In industrial robotwe lding heat exchanger plate route planning, there are drawbacks to using the trad itional ant colonyalgorithm (ACA), including poor search efficiency and a prope nsity to trend toward the local optimum."Our news editors obtained a quote from the research from School of Mechanical En gineering: "Toaddress the above issues, first of all, the article introduces th e improved pheromone volatilization factor,which is adjustable based on iterati on times in the ACA. Secondly, it combines the new perturbationstrategy and the cross-mutation operation, proposes an improved genetic algorithm, and fuses it into theACA, which increases the diversity of the ACA's path searching and impr oves the ability of the localand global search. Finally, the improved ACA mecha nism is verified by experiments and compared withsix existing path planning alg orithms (including three ACA variant algorithms and three mainstreamalgorithms) ."

Key words

School of Mechanical Engineering/Algori thms/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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