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中文摘要：
针对产品动态到达的航空发动机装配车间，对知识化制造系统的自进化问题进行研究．将自进化的思想应用于该装配车间，提出了知识化制造环境下该装配车间自进化问题的求解算法．根据双层规划理论，建立了系统在每个决策时刻静态决策问题的一般数学模型，并设计了一种基于可行域搜索的双层遗传算法（FR-BiGA）对模型进行求解．仿真结果验证了该模型与算法的有效性和可行性，且实验数据表明，自进化的系统具有相对较优的生产性能．
英文摘要：
For an aircraft assembly workshop with dynamic products arrival, the self-evolution problem of knowledgeable manufacturing systems is studied. The principle of self-evolution is applied to the workshop. An algorithm is proposed to solve the self-evolution problem of the workshop in the knowledgeable manufacturing environment. According to the bi-level programming theory, a general mathematical model of the static decision problem at each decision moment is established, and a bi-level genetic algorithm based on feasible region（FR-BiGA） is designed to solve the model. Simulation results demonstrate the effectiveness and feasibility of the proposed model and algorithms. Experimental data show that the system with self-evolution operations has comparatively better production performance.
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