基于自适应改进的人工蜂群算法在作业车间实时调度中的应用

Application of Artificial Bee Colony Algorithm Based on Self-adaptive Improvement in Workshop Real-time Scheduling

当前大多数企业工厂的作业车间都存在着生产效益低下的问题,其主要原因是车间货物的调度方法不合理。基于此,本文提出了基于自适应改进的人工蜂群算法,并结合Levy分布对具体算法进行了优化。试验对比发现,该算法能有效提高车间生产速度和调度方案的制定效率。

At present,there are problems of low production efficiency in the operation workshops of most factories,which are mainly due to the unreasonable scheduling method of the goods.Based on this,this paper proposes an artificial bee colony algorithm based on self-adaptive improvement,and optimizes the algorithm in combination with Levy distribution.According to the test comparison,the algorithm can effectively promote the workshop production and scheduling plan formulation efficiency.