面向敏捷车间的动态单元调度方案设计开发,构建基于多代理系统的敏捷车间动态单元调度框架,建立动态单元调度综合满意度函数,利用协同演化遗传算法求得车间资源重组全局优化解,结合聚类分析法作出敏捷车间动态单元调度的最满意决策.实例验证了上述方法的有效性.
Unit dynamic scheduling framework of agile workshop was built based on multi-agent system, facing unit dynamic scheduling solution design and development of agile workshop. Comprehensive satisfaction degree function of unit dynamic scheduling was established. By co-evolution genetic algorithm, overall optimization solution of workshop resources reorganization was acquired, and the most satisfied decision of unit dynamic scheduling was made with clustering analysis method. Finally, scheduling example proved its validity.