文件名称:TSP
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模拟退火算法求解旅行商问题
程序使用的参数说明:初始温度的选取方法:取一个确定值:280度
状态被接受的条件:如果delta f < 0, 则At = 1,否则At = exp(-delta f / t)
降温算法:采用等比例下降的方法,比例系数为0.95
同一温度内计算结束的条件: 在每个温度下采用固定的迭代次数,Lk=100n,n为城市数;
算法结束条件:
当相邻三个温度得到的解无任何变化时算法停止。
-Simulated annealing algorithm for solving traveling salesman problem
Procedures for the use of the parameters: initial temperature selection method: take a determined value: 280 degrees
The state accepted the condition: if delta f < 0, At = 1, if At = exp (- delta f/T )
Cooling algorithm: the proportion of dropping method, the proportion coefficient is 0.95
The same temperature calculation of end conditions: at each temperature using a fixed number of iterations, Lk = 100N, n city number
Algorithm of end conditions:
When three adjacent temperature of the solution without any changes in the algorithm to stop.
程序使用的参数说明:初始温度的选取方法:取一个确定值:280度
状态被接受的条件:如果delta f < 0, 则At = 1,否则At = exp(-delta f / t)
降温算法:采用等比例下降的方法,比例系数为0.95
同一温度内计算结束的条件: 在每个温度下采用固定的迭代次数,Lk=100n,n为城市数;
算法结束条件:
当相邻三个温度得到的解无任何变化时算法停止。
-Simulated annealing algorithm for solving traveling salesman problem
Procedures for the use of the parameters: initial temperature selection method: take a determined value: 280 degrees
The state accepted the condition: if delta f < 0, At = 1, if At = exp (- delta f/T )
Cooling algorithm: the proportion of dropping method, the proportion coefficient is 0.95
The same temperature calculation of end conditions: at each temperature using a fixed number of iterations, Lk = 100N, n city number
Algorithm of end conditions:
When three adjacent temperature of the solution without any changes in the algorithm to stop.
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TSP.cpp
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