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Description: 基于变长编码求解一维下料问题的演化算法,讲述了一种新的求解下料的算法.
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Size: 118370 |
Author: liuguifen |
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Description: 用遗传算法解决一维下料问题,返回总用料以及下料方式。
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Size: 4170 |
Author: 524376631@qq.com |
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Description: 基于变长编码求解一维下料问题的演化算法,讲述了一种新的求解下料的算法.-Based on Variable Length Coding for solving one-dimensional cutting stock problem of the evolutionary algorithm, described a new algorithm for solving cutting.
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Size: 117760 |
Author: liuguifen |
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Description: 自己写的有关工厂内一维材料优化下料的简单小程序(vs2008下编译通过)-Write your own factory on the one-dimensional material optimization of cutting a simple small program (vs2008 compiler adopted under)
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Size: 38912 |
Author: |
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Description: 用遗传算法解决一维下料问题,返回总用料以及下料方式。-solve the problem of CSP
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Size: 4096 |
Author: Angel |
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Description: 多规格一维下料问题基于满意度模拟退火算法-Multi-standard one-dimensional cutting problem based on simulated annealing satisfaction
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Size: 360448 |
Author: 刘峰 |
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Description: 一维下料问题的解决,算出下料方式,下料利用率以及下料总块数-One-dimensional cutting problems, calculate the cutting method, cutting efficiency and cutting the total number of blocks
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Size: 1024 |
Author: gaolu |
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Description: 一个采用用遗传算法解决一维下料问题的代码,返回总用料以及下料方式,可直接使用。-Using a genetic algorithm to solve the problem of one-dimensional cutting code, the total return of materials and cutting methods can be used directly.
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Size: 4096 |
Author: |
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Description: 用遗传算法解决一维下料问题,返回回总用料以及下料方式。可直接使用。
-Genetic algorithm to solve the one-dimensional cutting stock problem, return back to the total use of materials and material way. Can be used directly.
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Size: 4096 |
Author: thriftyy |
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Description: 解决CSP问题,FF算法,解决一维管材下料问题-CSP,solve one-dimensional cutting pipe problem in 5 seconds
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Size: 1072128 |
Author: zhenghang |
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Description: 解决一维下料和二维下料,通过建立目标函数,与约束,用lingo解决(Solve one dimensional blanking and two-dimensional blanking)
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Size: 140288 |
Author: G丶crystal
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Description: 多原料,多需求的一维下料问题解决程序,算法有优化,运行速度快(Multi material, multi demand one-dimensional cutting stock problem solving program, the algorithm is optimized, fast running speed)
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Size: 4096 |
Author: 王97
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Description: 一次性解决单一原材料,多种需求的算法,简单快捷。(one-dimension cutting stock problem)
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Size: 1024 |
Author: 静思beyond |
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