混合鲸鱼优化算法求解柔性作业车间调度问题

提出一种混合正余弦鲸鱼优化算法,将其应用于柔性作业车间调度问题的研究,以最小化最大完工时间为目标;首先进行两段式编码,使连续型鲸鱼优化算法可应用于柔性作业车间调度问题,并对基本鲸鱼优化算法加入非线性收敛因子平衡搜索与开发阶段;以正余弦算法策略改进鲸鱼个体位置更新方式与螺旋方式,提升算法寻优能力;最后以实验数据验证混合正...

Hybrid Whale Algorithm for Flexible Job Shop Scheduling Problem

The existing parking lot classification methods are exposed to problems of low-level automation and high equipment and deployment costs, and the existing detection algorithms have low recall rates and poor detection accuracy. To solve these problems, this study proposes a vision-based parking space detection and classification algorithm to improve the utilization efficiency of parking lots. First, parking spaces are detected to help build a parking space table andincrementally expand the parking space classification model dataset. Then, the test dataset is used to train the support vector machine (SVM) model for parking space classification. Finally, real-time judgment of the parking space conditions is made on every parking space based on the surveillance video data. The experimental results show that under different lighting conditions, the recall rate of the line detection of parking spaces is above 94%, and the accuracy of the parking space classification model is above 95%. The algorithm boasts a high degree of automation, good accuracy, simple deployment, and high application value.