搜索资源列表
JobShopSchedulingProblemMatlabGeneticAlgorithm
- 车间作业调度问题遗传算法Matlab源码,用于解决车间的调度问题-Job Shop Scheduling Problem Matlab genetic algorithm source code for the solution to the scheduling problem workshop
chejian
- 车间作业调度问题遗传算法通用程序,请查看-GA used in factory manufacture plan
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
jobshop-sa-jsp
- 模拟退火算法解决作业车间调度jobshop问题,以FT06问题为例说明,可产生甘特图,JSPmain是主函数。-Simulated annealing algorithm to solve the job shop scheduling jobshop problem to FT06 problem as an example, can produce a Gantt chart, JSPmain is the main function.
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.
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
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.
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
machine-JSP
- 可变机器调度,作业车间调度源代码,可参考,-machine changed JSP code
ga
- 改进的遗传算法,主要用于求解柔性作业车间调度问题(The improved genetic algorithm is mainly used to solve the flexible job shop scheduling problem)
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.)
FJSP-NSGA2
- 基于NSGA2的柔性作业车间调度问题(FJSP-NSGA2)(Flexible job shop scheduling problem based on NSGA2 Matlab Code(FJSP-NSGA2))
NSGA2 ——FSP
- 遗传算法2 求解柔性作业车间 调度问题 matlab 编码(use NSGA II to solve the flexible job shop scheduling problem)
Ch8_GA_JSP
- 利用遗传算法解决车间作业调度问题,matlab代码(Using Genetic Algorithms to Solve Job Shop Scheduling Problem)
NSGA2 正确
- 运用NSGAⅡ求解多目标柔性作业车间调度,其中目标主要包括时间和能耗(NSGA2 is used to solve multi-objective flexible job shop scheduling,in which the objectives mainly include time and energy consumption)
FJSP
- matlab求解柔性作业车间调度问题 (Flexible Job-shop Scheduling Problem, FJSP)(Matlab for flexible job shop scheduling problem (FJSP))