摘要
为了提高车间或者工业生产速度和质量,需要对生产中复杂作业流程调度进行研究。当前算法利用调度静态求解法和动态优化法实现复杂作业流程的调度。该算法没有相关策略的制定,也没有高效的理论作为支撑,导致该算法存在调度效率低,资源的利用率和环境适应能力较差等问题。为此,提出基于改进遗传进化算法的复杂作业流程调度。该算法先对复杂作业流程调度问题进行描述,针对调度问题描述,利用改进遗传进化算法对车间作业调度问题进行解决,将问题描述中的数学规划模型建立在规定的定义上。然后构建合适的编码实现改进遗传进化算法正常运行,过程中按一定要求对JSSP染色体进行编码,选择初始种群,并对适应度函数进行计算,引入交叉算子和变异算子扩大寻优范围。最后利用无延迟作业计划解决死锁状况,并通过调度过程流程图和作业调度整体结构流程图实现调度。实验结果表明,本文所提算法充分利用了现有资源实现了复杂作业流程的高效调度,同时也具有比较好的适应能力和灵活性。
In order to improve the production speed and quality of the workshop or industry, it is necessary to study the complicated operation process in production. The current algorithm USES the scheduling static solution method and the dynamic optimization method to implement the scheduling of complex job processes. The algorithm is not related to strategy formulation and no effective theory as the support, leading to low efficiency of the algo-rithm exists scheduling, resource utilization and environmental adaptation ability is poor. In this paper, the complex operation process scheduling based on improving genetic evolutionary algorithm is proposed. The algorithm for complex process scheduling problem is described first, in view of the scheduling problem description, using the im-proved genetic algorithm for solving job shop scheduling problem, described the problem of mathematical pro-gramming model based on the definition of the rules. And then build a suitable encoding to achieve improved ge-netic evolutionary algorithm run normally, process according to certain requirements for JSSP chromosome coding, choose the initial population, and the fitness function calculation, the introduction of crossover operator and muta-tion operator for expanding the scope of the optimization. Finally, the problem of deadlock condition was solved by using the non-delayed operation plan, and the scheduling of the whole structure flowchart was implemented by scheduling process flowchart and operation scheduling. The experimental results show that the proposed algorithm made full use of existing resources to achieve the efficient scheduling of complex process, at the same time also has a good adaptability and flexibility.
出处
《软件》
2017年第12期98-103,共6页
Software
基金
国家自然科学基金(61300149)
江苏高校品牌专业建设工程资助项目
江苏省教育厅高校哲学社会科学研究指导项目(2016SJD880064)~~
关键词
遗传进化算法
复杂作业流程
调度
Genetic evolutionary algorithm
Complex operation process
Scheduling
