本文選題：動態(tài)在線調(diào)度 + 優(yōu)先級調(diào)度規(guī)則�。� 參考：《信息與控制》2016年03期

【摘要】：利用動態(tài)在線調(diào)度方法對動態(tài)環(huán)境下的作業(yè)車間進行研究,采用優(yōu)先級調(diào)度規(guī)則對大量調(diào)度案例進行求解,針對7個調(diào)度目標,從備選調(diào)度規(guī)則集中選出了單個目標下性能最優(yōu)的調(diào)度規(guī)則;為實現(xiàn)調(diào)度規(guī)則的動態(tài)選擇以適應多目標調(diào)度,基于免疫系統(tǒng)中的獨特型網(wǎng)絡理論,設計了一種免疫調(diào)度算法.根據(jù)算法,定義了有效的抗體和抗原結構,并通過抗體間親和力計算、抗體濃度計算、抗體選擇等關鍵步驟,實現(xiàn)對調(diào)度規(guī)則的動態(tài)控制.仿真測試數(shù)據(jù)表明,所設計的免疫調(diào)度算法能根據(jù)不同的車間情況,快速選出不同的調(diào)度規(guī)則滿足多個調(diào)度目標,有效解決了作業(yè)車間多目標調(diào)度問題.
[Abstract]:The dynamic online scheduling method is used to study the job shop in the dynamic environment, and the priority scheduling rules are used to solve a large number of scheduling cases, aiming at seven scheduling objectives. The optimal scheduling rules with a single target are selected from the set of alternative scheduling rules, and an immune scheduling algorithm is designed based on the theory of idiotypic network in immune system to realize the dynamic selection of scheduling rules to adapt to multi-objective scheduling. According to the algorithm, the effective antibody and antigen structures are defined, and the dynamic control of the scheduling rules is realized through the key steps such as the calculation of the affinity between antibodies, the calculation of antibody concentration and the selection of antibodies. Simulation data show that the proposed immune scheduling algorithm can quickly select different scheduling rules to meet multiple scheduling objectives according to different job shop conditions and effectively solve the job shop multi-objective scheduling problem.
【作者單位】： 西南科技大學制造科學與工程學院;
【分類號】：TP18;TB497

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