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GA-FJSP-master

于 2020-06-16 发布
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下载积分: 1 下载次数: 10

代码说明:

说明:  采用改进的遗传算法,对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)

文件列表:

GA-FJSP-master\Activity.py, 2908 , 2019-01-12
GA-FJSP-master\CNCMachine.py, 2337 , 2019-01-12
GA-FJSP-master\data\data_con2_g1.txt, 11597 , 2019-01-12
GA-FJSP-master\data\data_con2_g1.txt.log.csv, 152 , 2019-01-12
GA-FJSP-master\data\data_con2_g1.txt.result.csv, 10052 , 2019-01-12
GA-FJSP-master\data\data_con2_g2.txt, 11597 , 2019-01-12
GA-FJSP-master\data\data_con2_g2_improved.txt, 11597 , 2019-01-12
GA-FJSP-master\data\data_con2_g2_improved.txt.log.csv, 17680 , 2019-01-12
GA-FJSP-master\data\data_con2_g2_improved.txt.result.csv, 10062 , 2019-01-12
GA-FJSP-master\data\data_con2_g3.txt, 11597 , 2019-01-12
GA-FJSP-master\data\data_con2_g3_improved.txt, 11597 , 2019-01-12
GA-FJSP-master\data\data_con2_g3_improved.txt.log.csv, 8688 , 2019-01-12
GA-FJSP-master\data\data_con2_g3_improved.txt.result.csv, 10025 , 2019-01-12
GA-FJSP-master\data\data_con3_g1.txt, 11602 , 2019-01-12
GA-FJSP-master\data\data_con3_g2.txt, 11602 , 2019-01-12
GA-FJSP-master\data\data_con3_g3.txt, 11602 , 2019-01-12
GA-FJSP-master\data\small.txt, 265 , 2019-01-12
GA-FJSP-master\data\small.txt.log.csv, 137 , 2019-01-12
GA-FJSP-master\data\small.txt.result.csv, 203 , 2019-01-12
GA-FJSP-master\DataReader.py, 5923 , 2019-01-12
GA-FJSP-master\GA.py, 20102 , 2019-01-12
GA-FJSP-master\GraphDrawer.py, 3189 , 2019-01-12
GA-FJSP-master\Heuristics.py, 3836 , 2019-01-12
GA-FJSP-master\Job.py, 2154 , 2019-01-12
GA-FJSP-master\main.py, 2698 , 2019-01-12
GA-FJSP-master\Operation.py, 1631 , 2019-01-12
GA-FJSP-master\README.md, 1754 , 2019-01-12
GA-FJSP-master\RGVSystemConfig.py, 855 , 2019-01-12
GA-FJSP-master\Scheduler.py, 2872 , 2019-01-12
GA-FJSP-master\data, 0 , 2019-08-09
GA-FJSP-master, 0 , 2019-08-09

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  • WWO
    说明:  新型的智能优化算法,水波优化算法,在基准函数CEC2014上比PSO,BBO,HS等表现要好。(A New Intelligent Optimum Algorithms, Water Wave Optimum Algorithms)
    2019-03-15 20:05:06下载
    积分:1
  • 基于蚁群的多配送中心的车辆调度问题的研究
    说明:  本代码是基于蚁群算法的多配送中心的车辆调度问题的研究论文的源代码,包括数据集,找了很久网上信息不全,加上自己总结,最终调试成功,分享一下(This code is the source code of the research paper on the vehicle scheduling problem of multiple distribution centers based on ant colony algorithm, including data set. After a long time of searching for incomplete information on the Internet, plus my own summary, the final debugging is successful. Share it)
    2019-12-03 22:30:39下载
    积分:1
  • CodeF1(解压密码见源链接)
    说明:  能够规划三维环境下的最优路径,能够满足多约束条件的目标规划(optimal path planning in three-dimensional enviroment)
    2019-09-20 12:49:31下载
    积分:1
  • 例4.2
    说明:  基于遗传算法的稀步平面阵列,用于平面阵列的稀步优化。可以有效的减少平面阵列的阵元。从而降低阵列天线的成本。(The sparse step linear array based on genetic algorithm is used to optimize the sparse step linear array. It can effectively reduce the array elements of linear array.)
    2020-08-26 08:57:15下载
    积分:1
  • myAntBp
    采用蚁群算法对BP神经网络进行优化,并结合实例进行应用验证。(The ant colony algorithm is used to optimize the BP neural network, and an example is used to validate it.)
    2020-10-28 13:19:58下载
    积分:1
  • 的蚁群
    说明:  在蚁群算法的基础上进行改进,使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)
    2019-03-27 21:11:48下载
    积分:1
  • 灰狼优源代码
    说明:  灰狼算法,一种新型群体智能优化算法,将改进的灰狼算法优化神经网络模型,提高收敛速度,避免陷入局部最优解(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization algorithm that imitates the leadership of gray wolf population and hunting mechanism in nature)
    2020-03-07 14:14:59下载
    积分:1
  • GA-FJSP-master
    采用改进的遗传算法,对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)
    2020-06-16 11:20:02下载
    积分:1
  • MODA多目标蜻蜓
    说明:  用蜻蜓算法求解多目标优化问题,可以运行,完整代码(Using Dragonfly algorithm to solve multi-objective optimization problems, it can run, complete code)
    2020-10-15 20:37:29下载
    积分:1
  • GA-FJSP-master
    说明:  采用改进的遗传算法,对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)
    2020-06-16 11:20:02下载
    积分:1
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