Description: the matlab implementation of job-shop scheduling problem solution based on the GA algorithm Platform: |
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Author:froglce |
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Description: 遗传算法在车间作业调度中的应用，不错的文章，希望对大家有帮助-Genetic Algorithm in Job Shop Scheduling application, the article is true, and I hope to be helpful Platform: |
Size: 293888 |
Author:张伟 |
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Description: 关于遗传算法的理论以及应用，包括车间调度，函数优化，求最短路径问题等-On genetic algorithm theory and applications, including job shop scheduling, function optimization, seeking the shortest path problem Platform: |
Size: 3477504 |
Author:tobyzuo |
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Description: 关于遗传算法的理论以及应用，包括车间调度，函数优化，求最短路径问题等-On genetic algorithm theory and applications, including job shop scheduling, function optimization, seeking the shortest path problem Platform: |
Size: 10234880 |
Author:tobyzuo |
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Description: 介绍遗传算得原理及应用，应用遗传算法解决车间调度问题-Can be said to introduce the genetic theory and application, the application of genetic algorithms to solve job shop scheduling problem Platform: |
Size: 51200 |
Author:tobyzuo |
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Description: A survey to describe some Job Shop Scheduling problem using Genetic Algorithm problems to solve some NP-hardness problem! Platform: |
Size: 267264 |
Author:eric |
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Description: 按自然法则计算的一个新分支：确定性退火技术
解决Job Shop调度问题的模拟退火算法改进-Calculated in accordance with the laws of nature a new branch: deterministic annealing to solve the Job Shop scheduling problem to improve the simulated annealing algorithm Platform: |
Size: 7168 |
Author:尹胜台 |
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Description: 基于PSO的job-shop调度源代码，上面已经上传了一个基于flow-shop调度问题，可以讲二者对比看-PSO-based job-shop scheduling of the source code has been uploaded above based on the flow-shop scheduling problem, you can talk about comparing the two to see Platform: |
Size: 16384 |
Author:杨维 |
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Description: 遗传算法车间调度,车间作业调度问题遗传算法
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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 Platform: |
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Author:王龙隐 |
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Search - Job Shop Scheduling