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M/M/1单服务台排队系统仿真(用事件调度法实现离散事件系统仿真) 顾客到达模到达时间间隔和顾客服务时间均服从负指数分布,单服务台系统,按照单队排队,按FIFO方式服务。考察服务n个顾客(n=1000,2000,3000,5000)后的顾客平均队长及平均排队等待时间。-M/M/1 single-server queuing system simulation (using Event Scheduling Method Discrete Event Simulation System) to customers Da-mo arrival time interval and customer service time are negative exponential distribution, single-desk system, in accordance with the single-team queue, by FIFO mode services. N inspection services customers (n = 1000,2000,3000. 5000) the average customer captain, and the average queue time.
Date : 2025-12-19 Size : 1kb User : 麦麦

遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵,存储m个工件n个工序的加工时间 P 1×n的向量,n个工序中,每一个工序所具有的机床数目 输出参数列表 Zp 最优的Makespan值 Y1p 最优方案中,各工件各工序的开始时刻,可根据它绘出甘特图 Y2p 最优方案中,各工件各工序的结束时刻,可根据它绘出甘特图 Y3p 最优方案中,各工件各工序使用的机器编号 Xp 最优决策变量的值,决策变量是一个实数编码的m×n矩阵 LC1 收敛曲线1,各代最优个体适应值的记录 LC2 收敛曲线2,各代群体平均适应值的记录 最后,程序还将绘出三副图片:两条收敛曲线图和甘特图(各工件的调度时序图)-Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict
Date : 2025-12-19 Size : 2kb User : 王龙隐

使用CDS(一种基于John算法的拓展算法)和Palmer算法解决m-machine和n-job 的jobshop schedling问题,并对主要的功能指标进行比较。使用Matlab运行调用Drawchat()函数。-Use of CDS (algorithm based on the expansion of John algorithm) and Palmer algorithm to solve m-machine n-job and the jobshop schedling issues and the main features were compared. Run using the Matlab call Drawchat () function.
Date : 2025-12-19 Size : 32kb User : ylh

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负载均衡调度问题:假设有N个任务,需要负载均衡器分配给M个服务器节点去处理。每个任务的任务长度、每台服务器节点(下面简称“节点”)的处理速度已知,请给出一种任务分配方式,使得所有任务的总处理时间最短。crossover(Load balancing scheduling problem: suppose there are n tasks, which need to be allocated to m server nodes by load balancer. The task length of each task and the processing speed of each server node (hereinafter referred to as "node") are known. Please provide a task allocation method to minimize the total processing time of all tasks.crossover)
Date : 2025-12-19 Size : 2kb User : 言木
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