Study on bionic flexible workflow modeling and adaptation algorithm
仿生柔性工作流建模与适应算法研究*

To improve the responding speed of the flexible workflow to the external dynamic changes, introduced the biological mechanism of reflection into the flexible workflow, builded the neural network system in the flexible workflow. By using of the biological mechanism of reflection to the stimulus, the bionic flexible workflow model is created and the concept model of artificial neural network is defined in a flexible workflow with artificial neural network technology, then, proposed a framework of flexible workflow adaptation algorithm based on the above model. Finally, with an example of working hour quota set in the enterprise production planning node, simulated the flexible workflow adaptation algorithm based on the bionic flexible workflow model which the type of the processing neural group is BP model. Simulation results show that the established model can make correct response to the dynamic changes according to the parameters, thus proving the adaptation algorithm of bionic flexible workflow can respond to outside dynamic change intelligently.