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 originating from Shaanxi University of Science & Technology by NewsRx correspondents, research stated, "Efficient and stable cont rol and task assignment optimization in electronic commerce logistics and wareho using systems involving multiple robots executing multiple tasks is highly chall enging." Funders for this research include National Key Research And Development Program of China; Basic Research Program of Guangzhou City of China; Guangdong Water Con servancy Science And Technology Innovation Project. The news reporters obtained a quote from the research from Shaanxi University of Science & Technology: "Hence, this paper proposes a Swiss round s election algorithm for multi-robot task allocation to address the challenges men tioned. Firstly, based on the shipping process of electronic commerce logistics and warehousing systems, the tasks are divided into packaging and sorting stages , and a grid model for the electronic commerce warehousing system is established . Secondly, by increasing the probabilities of crossover and mutation in the pop ulation and adopting a full crossover and full mutation approach, the search sco pe of the population is expanded. Then, a Swiss round selection mechanism with b urst probability is proposed, which ensures the smooth inheritance of high-quali ty individuals while improving the diversity of the population. Finally, 12 comp arative experiments are designed with different numbers of robots and tasks."
Key words
Shaanxi University of Science & Technology/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Rob ot/Robotics/Selection Algorithm
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