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中文摘要：
针对敏捷车间的单元动态调度方案进行了设计与开发，构建基于多代理系统的敏捷车间单元动态调度框架。提出自上至下以及自下至上相结合的单元动态调度思想，建立融入模糊理论的单元动态调度综合满意度函数，运用演化博弈论，给出Agent的资源优选演化稳定策略解释。通过本协同演化遗传算法，求得面向多项工作任务的车间资源重组全局优化解，结合聚类分析法作出了敏捷车间单元动态调度的最满意决策。调度实例验证了算法的有效性及可行性。
英文摘要：
Unit dynamic scheduling framework of agile workshop was built based on multi-agent sys- tem, facing unit dynamic scheduling solution design and development of agile workshop. Dynamic sched- uling thought was proposed with combination of both up-bottom and bottom-up approaches. Then, with integration of fuzzy theory, comprehensive satisfaction degree function of unit dynamic scheduling was es- tablished. Evolutionary stable strategy of resources optimization was explained based on evolutionary game theory. By co-evolution genetic algorithm, overall optimization solution of workshop resources reorgani- zation was acquired for many jobs, and the most satisfied decision of unit dynamic scheduling in agile workshop was made with combination of clustering analysis method. Finally, scheduling example was pro- vided to prove validity and feasibility of the algorithm.
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