搜索资源列表
JSP--E-T--GA
- 针对带有交货期窗口硬约束，并对提前/拖期零件进行惩罚的一类作业车间调度问题，设计了一种改进型遗传算法EGA。交货期窗口硬约束是指每个零件均有交货期和deadline，零件可以在交货期后完工，但绝不能超出deadline。EGA采用“逆向后推”和“顺向前拉”相结合的两阶段求解策略。针对部分染色体在解码过程中违反交货期窗口硬约束而产生非法解的问题，采用基于关键路径的染色体修复方法来调整染色体基因序列，以期实现在满足交货期窗口硬约束的同时降低零件拖期成本；在保持第一调度阶段拖期成本不变的基础上，采用基
job-shop-matlab
- 带有恶化时间的作业车间调度问题matlab 程序-Job shop scheduling problem with time to progression matlab program
PSO
- 用粒子群算法来实现作业车间调度问题，得到最小的完工时间-Particle swarm algorithm to achieve job-shop scheduling problem, obtain the minimum completion time
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))