篮球队员协作模式在多收割机械协同作业中的应用

Application of Basketball Team Cooperation Model in Multi Harvest Mechanical Cooperative Operation

在篮球比赛时,为了使队员的协作模式达到最佳,可以采用相关算法对协作时最佳的投篮地点进行选择。在农忙时节多收割机机械协同作业时,如果每台收割机的搜索路径不佳,则会造成收割机在作业时具有很多空行非作业时间,造成了资源的浪费,降低了作业效率。为了解决这个问题,将篮球队员协作模式引入到了多收割机编队的协同作业算法中,并提出了多路径蚁群搜索算法。最后,对算法进行了验证,试验结果表明:将篮球协作模式的多路径蚁群搜索算法引入到收割机路径搜索中,不仅可以实现最优路径的快速搜索,而且可以实现多收割机等长度路径搜索,使多台收割机路径最短并保持距离相同或者接近,从而保证了多台收割机同时作业时的作业效率最高,为多收割机编队协同作业的研究提供了较有价值的参考。

In the basketball match,in order to make the team＇s cooperation mode to be the best,it can use relevant algorithm to choose the best shooting place for cooperation. In the busy season,many mechanical collaboration harvester,if the search path for each harvester is poor,it will cause the harvester in operation has many non blank line operation time,resulting in a waste of resources,reducing operating efficiency. In order to solve this problem,the cooperative model of basketball players is introduced into the cooperative operation algorithm of multi harvester formation,and it proposed. a multi path ant colony search algorithm. At the end of the algorithm is verified by experiments,the experimental results show that the multi path basketball cooperative mode of ant colony search algorithm is introduced to combine path search,fast search can not only achieve the optimal path,and it can realize multi search harvester path length,the harvester with the shortest path and keep the same distance or close to it. To ensure that the number of harvesters to work at the same time the highest operational efficiency,which provides valuable reference for research collaboration formation harvester.