pulp

Python Pulp using with Matrices

由 。_饼干妹妹 提交于 2020-12-29 02:52:05
问题 I am still very new to Python, after years and years of Matlab. I am trying to use Pulp to set up an integer linear program. Given an array of numbers: {P[i]:i=1...N} I want to maximize: sum( x_i P_i ) subject to the constraints A x <= b A_eq x = b_eq and with bounds (vector based bounds) LB <= x <= UB In pulp however, I don't see how to do vector declarations properly. I was using: RANGE = range(numpy.size(P)) x = pulp.LpVariable.dicts("x", LB_ind, UB_ind, "Integer") where I can only enter

Python Pulp using with Matrices

由 倖福魔咒の 提交于 2020-12-29 02:52:04
问题 I am still very new to Python, after years and years of Matlab. I am trying to use Pulp to set up an integer linear program. Given an array of numbers: {P[i]:i=1...N} I want to maximize: sum( x_i P_i ) subject to the constraints A x <= b A_eq x = b_eq and with bounds (vector based bounds) LB <= x <= UB In pulp however, I don't see how to do vector declarations properly. I was using: RANGE = range(numpy.size(P)) x = pulp.LpVariable.dicts("x", LB_ind, UB_ind, "Integer") where I can only enter

用python做线性规划的几种工具包和入门介绍

由 依然范特西╮ 提交于 2020-12-17 10:35:25
本文介绍三种常见的python做线性规划的工具包：scipy、pulp、cvxpy，后面2个包也支持整数规划（Integer Program）、01规划（Binary Program）还是混合整数线性规划（MILP）。 一、scipy做线性规划 1、scipy简单介绍 scipy库是个功能很强大的包，可以通过调用optimize.linprog函数解决简单的线性规划： scipy.optimize.linprog(c, A_ub=None, b_ub=None, A_eq=None, b_eq=None, bounds=None, method=‘simplex’, callback=None, options=None) c指的应该是要求最大值的函数的系数数组，A_ub是应该是不等式未知量的系数矩阵，【注意：来这不等式指的是<=的不等式，那如果是>=，就需要乘个负号】。A_eq就是其中等式的未知量系数矩阵了。B_ub就是不等式的右边了，B_eq就是等式右边了。bounds的话，指的就是每个未知量的范围了。 2、案例 题目： 代码示例： from scipy import optimize as op import numpy as np c = np . array ( [ 2 , 3 , - 5 ] ) A_ub = np . array ( [ [ - 2 , 5 , - 1

Solve linear programming python using Pulp

由 ▼魔方 西西 提交于 2020-12-07 14:57:12
问题 Hi, this is my code and i need help. This is a simple version of another code, the real one I am using 50 in origin and 70 in destination.. there are two things that i do not know how to do: first thing that i do not know how to do: I would like to limit the number of orign used in the optimization, in this case I would like to only use 3 "origin", but all destination must be used second, i would like to print the distance next to each combination I used after the solve(), the distance i

Solve linear programming python using Pulp

由 丶灬走出姿态 提交于 2020-12-07 14:55:55
问题 Hi, this is my code and i need help. This is a simple version of another code, the real one I am using 50 in origin and 70 in destination.. there are two things that i do not know how to do: first thing that i do not know how to do: I would like to limit the number of orign used in the optimization, in this case I would like to only use 3 "origin", but all destination must be used second, i would like to print the distance next to each combination I used after the solve(), the distance i

Solve linear programming python using Pulp

由 ℡╲_俬逩灬. 提交于 2020-12-07 14:55:29
问题 Hi, this is my code and i need help. This is a simple version of another code, the real one I am using 50 in origin and 70 in destination.. there are two things that i do not know how to do: first thing that i do not know how to do: I would like to limit the number of orign used in the optimization, in this case I would like to only use 3 "origin", but all destination must be used second, i would like to print the distance next to each combination I used after the solve(), the distance i

Solve linear programming python using Pulp

由 旧街凉风 提交于 2020-12-07 14:55:06
问题 Hi, this is my code and i need help. This is a simple version of another code, the real one I am using 50 in origin and 70 in destination.. there are two things that i do not know how to do: first thing that i do not know how to do: I would like to limit the number of orign used in the optimization, in this case I would like to only use 3 "origin", but all destination must be used second, i would like to print the distance next to each combination I used after the solve(), the distance i
订阅 pulp