基于Petri网和基因表达式编程的作业车间调度研究
[Abstract]:With the development of manufacturing industry, the realization process of job shop scheduling problem has become more and more complex. Job shop scheduling problem is a kind of combinatorial optimization problem with various constraints. It has a very practical application background for this problem, so this field has been a hot research topic since 80 years of last century. With the mutual penetration of various disciplines, there are also many research methods, and a large number of valuable literature has emerged. However, this problem has been proved to be a difficult NP problem, so far there is no definite and feasible solution, which has attracted more and more scholars to study it, and a lot of important scheduling algorithms have been proposed in recent years. This also arouses the enthusiasm of scholars for the research of scheduling problem. In this context, the research of job shop scheduling problem has become more meaningful. At present, there are more than ten kinds of research on scheduling problem, among which there are Petri net, control and other methods for the simulation modeling of job shop. In this paper, Petri is selected as the modeling tool for job shop scheduling problem research. Because Petri net has been developed for more than 60 years, it is a very mature modeling tool based on mathematics. The model based on Petri net can simulate the scheduling system in real time. At present, Petri net often analyzes and models discrete events, and the system network integration can be modeled according to the function selection of Petri net. It can be seen that Petri net is selected to facilitate the modeling and design of job shop scheduling. In this paper, according to the description of scheduling problem, the delay Petri net is used to model the simple job shop scheduling problem, and then the time colored Petri net is proposed to model and analyze the complex scheduling problem. Through the modeling method proposed in this paper, we can intuitively see the scheduling of complex scheduling problems, and verify that the modeling theory proposed in this paper is feasible. According to the design of gene expression programming after Petri modeling, this paper proposes a gene expression programming coding which is different from the traditional gene expression programming coding. In this algorithm, Gene expression programming establishes the tail of chromosome according to the transition sequence in delay Petri net model, and a job shop scheduling scheme can be established at the tail of each chromosome. In this paper, three types of genetic expression, crossing and variation, were selected for genetic operation. The crossing and mutation operations are different from the prototype Petri net. In this paper, a specific genetic operation is designed according to the scheduling problem. Finally, according to the simulation of job shop scheduling problem by Petri net, the corresponding time of each chromosome is obtained by the transition delay time. Combined with the advantages of gene expression programming, which has good optimization ability and Petri net can describe the process of dynamic discrete events, the simulation example is tested. Finally, the feasibility of the proposed algorithm is verified by comparing the experimental data.
【学位授予单位】:广西师范学院
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP301.1;TB49
【共引文献】
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