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yichansuanfaqiujiealb
- 利用遗传算法实现生产线平衡问题的求解，可以得到最优的工作站安排方式-Using Genetic Algorithms balance the production line to solve the problem, you can get the optimal arrangement of the workstation
GSAALB
- 装配生产线任务平衡优化遗传算法通MATLAB源码，下面的源码实现了装配生产线任务平衡优化问题（ALB问题）的遗传算法，算法主要参考下面这篇文献，并对其进行了改进。-Task of assembly line balancing optimal genetic algorithm-pass MATLAB source code, the following source code to achieve the task of assembly line balancing optimization
ALBP
- assembly line balancing problem
1
- 电力系统潮流上机程序，已知线路结构，pq节点，pv节点和平衡节点，求各点的未知量。-Power System Power program, known line structure, pq node, pv nodes and balancing node, find the unknown amount of points.
BCE_pascal
- 化学方程式配平计算器 注意事项:1.只能使用目前已经发现的元素(IUPAC 22 June 2007),区分大小写.2.化学式按规则输入,有机物可简化输入,各化学式前绝对不可带计量数.3.用E表示离子,后跟所带电荷数, + 和1可省略,如氢离子可表示为 HE1+ 4.各物质之间用 + 连接,方程式中间用 = 号,并在同一行输入,空格会被忽略.5.如果程序异常退出,则可能是由于您输入的方程式是不可能的. 6.不支持输入中括号和大括号,但支持小括号的嵌套.-Balancing chemic
g
- 利用遗传算法，交叉变异等，解决装配线平衡1型问题-Using genetic algorithm, crossover and mutation, to solve assembly line balancing problem of type 1
BBR-for-SALBP1
- 该程序是用来解决混合流水线装配线平衡问题的程序，所用语言为C语言-The program is used to solve the problem of mixed pipeline assembly line balancing procedures, the language used for the C language
Assembly_Line_-_Theory_and_Practice
- ASSEMBLY LINE BALANCING USING HEURISTIC METHODS
ALBP
- ASSEMBLY LINE BALANCING USING HEURISTIC METHODS
assembly-2
- assembly line balancing
assembly-line
- assembly line balancing with matlab articles
ga
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法，并对遗传算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem for certain equipment is sovled with modified genetic algorithm by using matlab languge.)
gapso
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法和粒子群算法，并对遗传算法和粒子群算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem for certain equipment is sovled with modified genetic-particle swarm optimization algorithm by using matlab languge.)
getparamsbyN
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法和粒子群算法进行优化求解，并对遗传算法和粒子群算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem with resource constrained for certain equipment is sovled with modified genetic particle-swarm algorithm by using matlab languge