摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-调查人员发布关于机器人的新报告。从兰州外的新闻报道看中华民国，NewsRx e Ditors，研究称，“应对传统k-means的挑战”算法，如初始聚类中心点选取的困难和缺乏最大值限制群集的数量，以及群集中的任务集在群集之后没有进行合理排序本文提出了任务分配问题,这使得多机器人协同操作效率低下基于k-means++算法与多机器人协同的任务分配方法微粒群优化(PSO)算法"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on robotics. Acc ording to news reporting out of Lanzhou, People’sRepublic of China, by NewsRx e ditors, research stated, “Addressing challenges in the traditional K-meansalgor ithm, such as the challenge of selecting initial clustering center points and th e lack of a maximumlimit on the number of clusters, and where the set of tasks in the clusters is not reasonably sorted afterthe task assignment, which makes the cooperative operation of multiple robots inefficient, this paper putsforwar d a multi-robot task assignment method based on the synergy of the K-means++ alg orithm andthe particle swarm optimization (PSO) algorithm.”
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