首页|Findings from Hefei University of Technology in the Area of Robotics Reported (A Deep Reinforcement Learning Hyper-heuristic To Solve Order Batching Problem Wit h Mobile Robots)
Findings from Hefei University of Technology in the Area of Robotics Reported (A Deep Reinforcement Learning Hyper-heuristic To Solve Order Batching Problem Wit h Mobile Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting out of Anhui, People's Republic of Ch ina, by NewsRx editors, research stated, "In e-commerce logistics, it is critica l to enhance the efficiency of the order-picking system. Motivated by applicatio ns of automatic logistics, we consider the mobile robot based order batching pro blem." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Hefei Universit y of Technology, "In this problem, mobile robots carry shelves to the picking st ation for order picking and then return them. The objective is to reduce shelf m ovements while minimizing the number of delayed orders. We introduce a hyper-heu ristic method based on deep reinforcement learning to optimize the order batchin g strategy in the system. The proposed method adaptively selects the order batch ing strategy, significantly improving the sequential decision-making process in order picking. Through extensive tests, we demonstrate the superiority of the pr oposed method over several existing heuristic methods in a range of test scenari os. The results show that the proposed method outperforms other existing heurist ic methods in a range of test scenarios, offering more stable and effective solu tions."
AnhuiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRo botRoboticsHefei University of Technology
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