文件名称:MIP
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运用分枝定界法求解混合整数规划程序
各输入参数的含义:
min f*x
A*x<=b
Aeq*x=beq
iter_num_max:迭代次数的上限
lb:各变量的下限
ub:各变量的上限
x0:初值
ID:0、1变量,ID(k)=1,表示第k个变量为整数变量,ID(k)=0,表示第k个变量为非整数变量
ftemp_up:初始上界,无法找到初始上界,默认为无穷大
IP:初始可行解,无法找到初始可行解,默认为空
各输出参数的含义:
x:最优解
y:最优解对应的目标函数值
iter_num:整个分支定界过程的迭代次数
Time:运行本程序所耗费的时间- Use the branch and bound method for solving mixed integer programming procedures meaning of the of the input parameters: min f* x A* x < = b Aeq* x = beq iter_num_max: maximum number of iterations lb : each variable lower limit UB: upper limit of the each variable X0: Initial ID: 0,1 variable, ID (k) = 1 indicates the variable k is an integer variable, ID (k) = 0, represents the k variable non-integer variable ftemp_up: initial upper bound, unable to find the upper bound of the initial default is infinite IP: initial feasible solution, the initial feasible solution can not be found, the default is the empty output parameters meaning: x: y: optimal solution of the objective function value corresponding to the optimal solution time-consuming iter_num: the number of iterations of the entire branch and bound process Time: Run this program
各输入参数的含义:
min f*x
A*x<=b
Aeq*x=beq
iter_num_max:迭代次数的上限
lb:各变量的下限
ub:各变量的上限
x0:初值
ID:0、1变量,ID(k)=1,表示第k个变量为整数变量,ID(k)=0,表示第k个变量为非整数变量
ftemp_up:初始上界,无法找到初始上界,默认为无穷大
IP:初始可行解,无法找到初始可行解,默认为空
各输出参数的含义:
x:最优解
y:最优解对应的目标函数值
iter_num:整个分支定界过程的迭代次数
Time:运行本程序所耗费的时间- Use the branch and bound method for solving mixed integer programming procedures meaning of the of the input parameters: min f* x A* x < = b Aeq* x = beq iter_num_max: maximum number of iterations lb : each variable lower limit UB: upper limit of the each variable X0: Initial ID: 0,1 variable, ID (k) = 1 indicates the variable k is an integer variable, ID (k) = 0, represents the k variable non-integer variable ftemp_up: initial upper bound, unable to find the upper bound of the initial default is infinite IP: initial feasible solution, the initial feasible solution can not be found, the default is the empty output parameters meaning: x: y: optimal solution of the objective function value corresponding to the optimal solution time-consuming iter_num: the number of iterations of the entire branch and bound process Time: Run this program
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MIP.m
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