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che
- 车间作业调度问题Matlab源码,用于完成车间作业的最优化调度-Job Shop Scheduling Problem Matlab source code for the completion of Job Shop Scheduling Optimization
Example
- Flow Job Shop problem using genetic algorithm use g++ compiler
NEH_ForTFT
- 排序问题的NEH算法,用于解决最小总完工时间的无等待流水调度问题,是最有名的启发式算法-NEH algorithm is the best algorithm for serching the minimum total flow time of no wait flow-shop porblem
samodified-naborhood-structure
- sa flow shop scheduling by make span consideration
chapter11
- MATlab30个案例分析 第11章 流水车间调度的遗传算法MATlab实现-Analysis of MATlab30 cases Chapter 11 Flow Shop Scheduling the genetic algorithm MATlab achieve
GA-for-flow-shop
- GA for flow shop,include GA and SMGA,need ga toolbox-GA and SMGA
Flow_Shop_Scheduling_Problem
- Flow Shop Scheduling Problem in matlab
mofsp-flowshop
- 使用多目标优化算法解决多目标流水车间调度multi objective flowshop问题,其中main为主函数。-Using multi-objective optimization algorithms to solve multi-objective flow shop scheduling multi objective flowshop problem, where the main function main.
Gentic-Test
- flow-shop调度,目标函数为最小化最大完工时间-flow-shop scheduling, the objective function to minimize makespan
JSPGA
- 遗传算法 流水线 说明字数不够,随便打几个字喽-Genetic Algorithms flow shop
BASIC5
- Simulink model of flexible flow shop
flow-shop-problem
- 使用遗传算法来来解决求解置换流水线问题算法-matlab code for flowshop problem to use genetic algorithms
flowshopmaximumnumber
- In many cases the functionality and performance of flow-shop production systems depends heavily on the selection of a suitable sequence of orders. The main objectives of order sequencing in production systems are minimization of set-up times
palmer
- Palmer heuristic algorithm for flow shop secluding problem with example
GA
- genetic algorithm for solving flow shop scheduling problem-genetic algorithm for solving flow shop scheduling problem
GA-of-reentrant-hybrid-flow-shop
- 可重入混合流水车间的调度问题,遗传算法MATLAB源程序-Reentrant hybrid flow shop scheduling problem, the genetic algorithm MATLAB
Ch7_KeyWorkpiece
- N项作业的流水车间作业排序问题,使用关键工序法取得近优解。(In the flow shop scheduling problem of N item, near optimal solution is obtained by using the key procedure method.)
Ch8_GA_JSP
- 用遗传算法解决简单的JSP问题,即作业车间调度问题,并可绘制流程图。(The genetic algorithm is used to solve the simple JSP problem, that is, the job shop scheduling problem, and can draw the flow chart.)
1.混合流水车间(单目标)
- 关于单目标的混合流水车间代码,经过调试,可正常运行。(The single objective mixed flow shop code can be run normally after debugging.)