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GA-FJSP-master

于 2020-06-16 发布 文件大小:36KB
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下载积分: 1 下载次数: 0

代码说明:

  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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发表评论

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  • 果蝇参考
    说明:  原始的最优化算法,用来求解最小值最大值,适合新手入门学习(fruit fly optimization)
    2020-06-16 03:20:01下载
    积分:1
  • Toolbox_all_algorithms
    说明:  这是MATLAB中最新的优化工具箱,它利用最近提出的7种算法来优化您的问题。 此工具箱中提供的算法包括: 灰狼优化器(GWO),蚂蚁狮子优化器(ALO),多功能优化器(MVO),蜻蜓算法(DA),蛾火焰算法(MFO),正弦余弦算法(SCA)和鲸鱼优化算法(WOA) 。(This is the latest optimization toolbox in MATLAB, which optimizes your problem using seven algorithms recently proposed. The algorithms provided in this toolbox include: GWO, ALO, MVO, DA, MFO, SCA and WOA.)
    2019-03-27 14:54:43下载
    积分:1
  • levy
    用matlab实现levy概率分布,并作图,用于进化算法中调整步长(Using MATLAB to realize levy probability distribution and make a map for adjusting step size in evolutionary algorithm)
    2021-04-07 18:09:01下载
    积分:1
  • CS
    说明:  这是群智能优化算法,布谷鸟搜索算法,用matlab实现,用函数优化进行测试,简单易懂(This is swarm intelligence optimization algorithm, cuckoo search algorithm, implemented in matlab, test with function optimization, easy to understand)
    2018-10-10 12:24:20下载
    积分:1
  • GA最大PSB20180117
    遗传算法最大化峰值旁瓣电平,给出阵元数,阵列长度,遗传及交叉因子,得出最优的PSB(The genetic algorithm maximizes the peak sidelobe level, giving the number of array elements, the length of the array, the genetic and crossover factors, and derives the optimal PSB)
    2018-01-17 17:02:36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
  • 智能微电网粒子群优
    说明:  含电动汽车的微电网的优化运行,用粒子群算法进行多目标优化(Multi-objective optimization is carried out by using particle swarm optimization algorithm (PSO) to optimize the operation of microgrid with electric vehicles)
    2021-04-26 12:08:45下载
    积分:1
  • group algorithm
    说明:  通过群算法(BSO和CSO),实现寻优的功能。(Through group algorithm (BSO and CSO), the optimization function is realized.)
    2019-05-12 13:13:14下载
    积分:1
  • bat_algorithm
    matlab实现蝙蝠优化(BA)算法,用于最优化计算(Bat optimization (BA) algorithm implemented by MATLAB for optimization calculation)
    2020-06-22 06:00:01下载
    积分:1
  • DA
    说明:  蜻蜓算法,详细,可运行,对蜻蜓的运动进行描述(Dragonfly algorithm, detailed, operational)
    2020-04-25 09:48:45下载
    积分:1
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