搜索资源列表
FlowShop
- 用c++实现的批处理作业调度问题·优先队列式分支限界法·回溯法，包括Flowshop和make两个类，含有测试用的数据data-With c++ Realized the issue of batch job scheduling priority queue-style backtracking branch and bound method, including Flowshop and make the two categories, containing the test data us
SurveyPresent
- A survey to describe some Job Shop Scheduling problem using Genetic Algorithm problems to solve some NP-hardness problem!
JOBSHOP
- 由 P. Brucker, B. Jurisch, and B. Sievers提出的job shop scheduling解法程序，包含多种标准问题。-job shop scheduling method proposed by P. Brucker, B. Jurisch, and B. Sievers.
flowshop
- 实现作业调度机制，用动态规划解决流水作业调度问题-Implement job scheduling mechanism, flow-shop scheduling with dynamic programming to solve the problem
JSPGA
- 车间作业调度问题遗传算法 用MATLAB来实现-Job Shop Scheduling Problem genetic algorithm using MATLAB
modm
- Flexible Job Shop Scheduling _modm in matlabe
job-shop
- job-shop matlab 遗传算法-job-shop matlab gentic
GA
- 这是一个遗传算法文件，用于解决车间调度问题-This document is a genetic algorithm for solving job shop scheduling problem
jsp-ga-master
- 传统作业车间调度的遗传算法解算程序MATLAB源代码，产生最优调度结果。-Genetic algorithms traditional job-shop scheduling solver MATLAB source code, to produce optimal scheduling results.
JSP
- 有关经典车间调度的算法,车间作业调度问题(JSP)的遗传算法通用MATLAB源代码,-The classical job shop scheduling algorithm
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
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
Flow-Job-with-NEH-initilization
- This Code source resoudre Flow-shop Problem. we use the GA algorithm with NEH initialzation algorithm.
Jobshop
- job shop scheduling program
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
GA_job-shop
- 用遗传算法实现job-shop的过程，包含6X6和10X10的job-shop的案例-Genetic Algorithm realization process job-shop, including 6X6 and 10X10 the job-shop case
code.tar
- Job Shop Scheduling Project on C
prob.tar
- Job Shop Scheduling Problems
jobshop.tgz
- Java Eclipse project on Job Shop Scheduling