pulp

Optimization problem - How to add same team constraint

由 北城余情 提交于 2020-06-29 04:34:39
问题 How the dataset looks like: I'm trying to build an optimization tool for fantasy football, but I'm having difficulty forcing the model to use players from the same team. 9 players form a lineup, need to be under 50k and we are maximizing "proj" projected points self.salary_cap = 50000 self.Minsalary_cap = 0 self.header = ['QB', 'RB', 'RB','WR', 'WR', 'WR', 'TE','FLEX', 'Def'] #define the pulp object problem prob = pulp.LpProblem('NFL', pulp.LpMaximize) #define the player variabless players

Unable to run CPLEX on Pulp in Python

由 半世苍凉 提交于 2020-06-17 09:18:46
问题 I am trying to use Pulp to setup my LP model and solve it using CPLEX solver. I have CPLEX installed with license on my laptop but getting the below error : PulpSolverError: PuLP: cannot execute cplex.exe 回答1: Make sure that cplex.exe is in your PATH (see Adding directory to PATH Environment Variable in Windows). Alternately, you can set the path argument to the location of cplex.exe in the CPLEX_CMD constructor (see the source code). 来源： https://stackoverflow.com/questions/51275018/unable-to

How to automatize constraints definition on PuLP?

由 天大地大妈咪最大 提交于 2020-04-18 06:12:54
问题 Supply Chain Optimization - PuLP & Python 1. Problem definition I'm trying yo optimize how I define my constraints in the model shown below. Right now, I need to create different constraints for each year because otherwise the algorithm doesn't provide the expected result. I would like to have for "case" constraint a single definition, instead of define one for each year. Where "case" is: model += (((units_ind[str(1), str(manuf), str('B'), str(option)]) + units_ind[str(1), str(manuf), str('V'

java对接七牛后台进行内容审核（鉴黄、敏感人物、暴恐）

由 随声附和 提交于 2020-04-16 19:07:43
【推荐阅读】微服务还能火多久？>>> 关于七牛内容审核的介绍 在七牛的控制台找到智能多媒体 接下来找到智能内容审核，可以看到一些审核数据情况，主要包含：鉴黄、暴恐、敏感人物 另外看一下API接口说明： 查看地址是： https://developer.qiniu.com/dora/api/4252/image-review 主要分为两部分接口：新图片和旧图片。具体接口内容可点击上面地址进去看，此处不作详细介绍。 2、主动提交到七牛进行审核 顾名思义就是将现有的图片提交到七牛进行审核，以下是实现代码，我这里的例子只给出了传图片url的方式，当然也可以传图片的base64码上去进行审核 以下是说明： 图片资源。支持两种资源表达方式： 网络图片URL地址，支持http及https； 图片 base64 编码字符串，需在编码字符串前加上前缀 data:application/octet-stream;base64, 例：data:application/octet-stream;base64,xxx 以下是代码演示： public static JSONObject checkImage(String imageUrl) { //基础参数拼接 String url = "http://ai.qiniuapi.com/v3/image/censor"; String host = "ai

Conditional statements on variables added to constraints in linear programming

由 人走茶凉 提交于 2020-03-26 06:43:32
问题 I am looking for the best way to model and solve the following linear problem using Pulp where I have conditional statements on my variables to be added to the constraints: Here is an example: Max (x1*100 - a*80 - b*100) + (x2*80 - c*120 - d*75) s.t. a + b = x1 c + d = x2 x1 > 0 x2 > 0 if x1 > 0 then x2 = 0 if x2 > 0 then x1 = 0 a, b, c, d <= 100 I have declared x1, x2, a, b, c, and d as variables in my pulp problem. I tried to add 2 indicator functions in my obj function (one for x1 and one

Constrained Optimization of battery scheduling in microgrid

由 ⅰ亾dé卋堺 提交于 2020-03-03 11:55:21
问题 Given inputs such as electricity consumption, generation from solar panel, price, (All at a given time t), we have a battery, and we want to evaluate how much it should (dis)/charge at any given time. The Problem can be formulated as follows: Pt = price of electricity at time t Lt = consumption of electricity at time t Zt = charge of battery at time t (how much is in the battery) St = Electricity generated from solar generator at time t Qt = amount the battery (dis)/charges at time t the

Constrained Optimization of battery scheduling in microgrid

由 浪尽此生 提交于 2020-03-03 11:52:05
问题 Given inputs such as electricity consumption, generation from solar panel, price, (All at a given time t), we have a battery, and we want to evaluate how much it should (dis)/charge at any given time. The Problem can be formulated as follows: Pt = price of electricity at time t Lt = consumption of electricity at time t Zt = charge of battery at time t (how much is in the battery) St = Electricity generated from solar generator at time t Qt = amount the battery (dis)/charges at time t the

What does PuLP LpStatus=Undefined actually mean?

由 ╄→尐↘猪︶ㄣ 提交于 2020-02-27 14:47:28
问题 When I add a particular constraint to my problem, the LpStatus of the problem after solving changes to "Undefined" (without this constraint, it was "Optimal"). At the top of this page, the possibilities of the return status are shown, but it doesn't seem to explain what they mean. Can anyone explain what an "undefined" status means? It it something like a syntax error in specifying the constraint? 回答1: There are five status codes that can be returned from a solver in PuLP: Optimal Not Solved

Getting intermediate info. from PuLP

由 岁酱吖の 提交于 2020-01-14 06:14:07
问题 Getting intermediate result, while PuLP is trying to find the optimal and feasible solution. As you know, solving Mixed integer Linear programming (MILP) cases may take a long time. I'm trying to get intermediate results from PuLP optimization package, while it is running. I know it is possible to do that in Gurobi, which is a commercial optimization package. I'm not sure about the code I can use in PuLP package to get that information. Any advice would be appreciated. 回答1: Pulp doesn't

Linear optimization in Python using pulp

由 我怕爱的太早我们不能终老 提交于 2020-01-06 06:40:29
问题 So I have 3 datasets as follows, Cost data: Vcost Out[325]: P1 P2 P3 Vendors\Product List V1 0.204403 0.208178 0.198216 V2 0.220126 0.213755 0.198991 V3 0.204403 0.191450 0.203258 Risk data: Vrisk Out[326]: P1 P2 P3 Vendors\Product List V1 0.198598 0.210145 0.198157 V2 0.172897 0.178744 0.193548 V3 0.219626 0.200483 0.205069 Decision variables data: Vdecision Out[327]: P1 P2 P3 Vendors\Product List V1 a b c V2 f g h V3 k l m My objective is to minimize 0.71*Cost*x + 0.29*Risk*x subjected to
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