搜索资源列表
cut
- 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.
遗传算法解决一维下料
- 用遗传算法解决一维下料问题，返回总用料以及下料方式。
实用下料问题.doc
- “下料问题(cutting stock problem)”是把相同形状的一些原材料分割加工成若干个不同规格大小的零件的问题，此类问题在工程技术和工业生产中有着重要和广泛的应用. 这里的“实用下料问题”则是在某企业的实际条件限制下的单一材料的下料问题。
GA
- 用遗传算法实现一刀切下料，MFC界面，在VC下编写的程序，是个优化下料问题。-Genetic Algorithms for Cutting across the board, MFC interface, prepared in the VC process is optimized cutting stock problem.
GAS
- 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
lingo4
- lingo小程序，解决线性规划问题，如最优下料问题等。希望对从事这方面的朋友有帮助。-lingo small program to solve linear programming problems, hope in this field to help a friend.
Artificial-intelligence
- 人工智能，解决复杂问题。比如说，解决最优下料问题，解决最优规划问题等。-Artificial intelligence to solve complex problems. For example, the optimal solution under the material and solve optimal planning problems.
Multi-standard
- 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
CPPxialiao
- 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
mygeticalorithm
- 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.
xialiao
- 运用计算机仿真技术对有费用约束的下料问题进行简化。能够解决其它软件无法加入特定约束的问题，而且效率非常高。-The use of computer simulation technology to simplify the cutting cost constraints. Able to solve other software can not be added to certain constraints, and the efficiency is very high.
UGASs
- 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.
xialiaowenti
- 数学建模：下料问题
21312
- 同尺寸矩形排样算法,下料问题是经典的优化问题。考虑一块面积为A，长宽比为 的板材。现在需要切割成面积为B的用材。 ，不妨假设 为整数。-The same size rectangular nesting algorithm
lingo--xialiao
- 几个关于下料问题的小程序 解决相关问题很有帮助 自己编写 可以运行求解-lingo programming
test-0407
- 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
一维下料
- 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)
zip
- 利用模拟退火算法实现矩形件排样问题,利用模拟退火算法，基于最优下线编码方式，对矩形件进行下料处理。(A simulated annealing algorithm is used to solve the problem of rectangular sample layout, and the method of simulated annealing is used to process the rectangular parts.)
一维下料问题(一次解决)
- 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)
3D with rotation
- 三维下料问题的应用。。。。。。。。。。。。。。。(Three-dimensional packing)