中文摘要：

考虑实际纸盆车间调度中模具、机器、操作人员等资源约束,以及加工时间和交货日期的不确定性,建立了批量可变的模糊柔性Job-shop调度问题模型.结合多智能体系统以及免疫信息处理机制,构造了一种求解实际Job-shop调度问题的多智能体免疫算法.该方法通过竞争、自学习、自适应疫苗接种、模拟退火等操作,更新每个智能体在解空间的位置,从而能精确地收敛到全局最优解.纸盆车间调度实例的求解结果验证了该算法的有效性.

英文摘要：

Considering the various resource constraints including moulds,machines and operators and the uncertainty factors of processing time and due date in the practical diffuser shops,the model of the fuzzy flexible Job-shop scheduling problem of various batches is given. Based on the multi-agent system and the immunity information processing mechanism,an approach of multi-agent immune algorithm is proposed to solve the problem,which mainly consists of several operators：competition operator,self-study operator,adaptive bacterin extraction operator,simulated annealing operator,and so on. The position of the agent is updated with those operators in the solution space,and thus it can accurately search the global optimal. The multi-agent immune algorithm is applied to solve a scheduling example from a certain diffuser shop,and the results show its effectiveness.