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chejiandiaodu
- 流水线型车间作业调度问题可以描述如下：n个任务在流水线上进行m个阶段的加工，每一阶段至少有一台机器且至少有一个阶段存在多台机器，并且同一阶段上各机器的处理性能相同，在每一阶段各任务均要完成一道工序，各任务的每道工序可以在相应阶段上的任意一台机器上加工，已知任务各道工序的处理时间，要求确定所有任务的排序以及每一阶段上机器的分配情况，使得调度指标(一般求Makespan)最小。下面的源码是求解流水线型车间作业调度问题的遗传算法通用MATLAB源码，属于GreenSim团队原创作品，博客上发布的是不完
Ch8_GA_JSP
- 用MATLAB软件实现遗传算法解决作业车间调度问题-Genetic algorithms using MATLAB software to solve the job shop scheduling problem
JSPGA
- 关于车间调度问题JSP的遗传算法.直接可以调用该函数进行运算-About shop scheduling problem JSP GA
SDFS
- 资料\ 为遗传算法相关的一些文章：遗传算法入门——自zzwu的博客遗传算法——百度百科 基于遗传算法的车间调度问题先进算-Data \ some articles related to genetic algorithms: genetic algorithms entry- since zzwu s blog Genetic Algorithms- Baidu Encyclopedia Genetic Algorithm shop scheduling problem Adva
aberrance
- 遗传算法解决作业车间调度问题，这一M文件为遗传算子的变异操作-Genetic algorithms to solve the job shop scheduling problem, the M-file for the genetic mutation operator
across
- 遗传算法解决作业车间调度问题，这一M文件为遗传算子的交叉操作-Genetic algorithms to solve the job shop scheduling problem, the M-file for the genetic operators crossover operation
cal
- 遗传算法解决作业车间调度问题，,这一M文件计算目标函数值。-Genetic algorithms to solve the job shop scheduling problem,, the M-file to calculate the value of the objective function....
caltime
- 遗传算法解决作业车间调度问题，,这一M文件计算工序的加工顺序与加工时间-Genetic algorithms to solve the job shop scheduling problem,, the M-file to calculate the value of the objective function.
JSP
- 运用遗传算法解决作业车间调度问题，此M文件为调度问题的主程序代码。-The use of genetic algorithms to solve the job shop scheduling problem, this M-file for the main program code scheduling problems.
Improved-genetic-algorithm
- 一个改进的遗传算法来求解柔性job-shop问题，主要是初始种群形成的改进,算法讲解很清晰，也有具体的实现流程-An improved genetic algorithm to solve the flexible job shop problem, mainly is the formation of initial population improvement, the algorithm is explained clearly, also have specific implementa
genetic-algoritm-jobshopproblem
- matlab智能算法 基于多层编码遗传算法解决车间调度问题-genetic algorithm job-shop scheduling problem
GA.MATLAB
- 遗传算法用在车间调度问题上，扩大了其适用范围，本书可以使初学者快速入门-Genetic algorithm used in the shop scheduling problem, expanded its scope, this book allows beginners Getting Started
chapter11-book3
- 利用谢菲尔德遗传算法工具箱，解决基于多层编码遗传算法的车间调度问题-Sheffield use genetic algorithm toolbox to solve coding genetic algorithm based on multi-shop scheduling problem
GA
- Flow Shop调度问题的遗传算法通用MATLAB源码-Flow Shop Scheduling Problem Genetic Algorithm MATLAB source common
design
- 该算法是将sigmoid函数的变形函数应用到自适应遗传算法中，并将作业车间调度问题中的完工时间大小作为算法的评价指标，实现了交叉率和变异率随着完工时间的非线性自适应调整，较好地克服了标准遗传算法在解决作业车间调度问题时的“早熟”和稳定性差的缺点，以及传统的线性自适应遗传算法收敛速度慢的缺点。-The algorithm is the deformation function sigmoid function is applied to the adaptive genetic algorithm
Genetic-Algorithm-
- 基于遗传算法的，实现作业车间的调度设计问题，全部是相关的文献，可以了解相应的状况-Based on genetic algorithm to achieve the design job shop scheduling problem, all relevant documents, can understand the corresponding status
GA---JSSP
- 利用遗传算法解决车间调度问题，这里数据集在代码中直接给出-The use of genetic algorithms to solve shop scheduling problem, where the data set is given directly in the code
MATLAB
- 基于遗传算法的车间调度，用matlab实现- Job shop scheduling based on genetic algorithm
jieguo
- 车间调度工序的实现在MATLAB程序中基于遗传算法- The realization of job shop scheduling in MATLAB program
NSGA
- 在open shop情形下，采用遗传算法生成最优调度方案，所得Pareto解释最优的。-In the case of open shop using genetic algorithm to generate the optimal scheduling scheme, the resulting interpretation Pareto optimal.