R help - Feb 2018 - Best Optimization Routines

I have a set of data, the production of oil from a well.? And an equation to
predict that forecast.?

The equation requires 5 input variables which are real numbers with upper and
lower bounds, 1 input variable which must be an integer and 1 input variable
which can be 1 of 2 string variables.?

What is the best optimization routine (I am using nlminb) to use in R to
determine the best set of inputs and how to I handle the integer and string
inputs when optimizing? ?

I have attached a plot of what I am trying to accomplish as well as my sample
code.

Thanks,

Ryan



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On Tue, Feb 13, 2018 at 7:55 PM, JamesRyan(Ryan James)/E&P North
America Business Division <rjames at sk.com>
wrote:
> I have a set of data, the production of oil from a well.  And an equation
to predict that forecast.
>
> The equation requires 5 input variables which are real numbers with upper
and lower bounds, 1 input variable which must be an integer and 1 input variable
which can be 1 of 2 string variables.
>
> What is the best optimization routine (I am using nlminb) to use in R to
determine the best set of inputs and how to I handle the integer and string
inputs when optimizing?
>
> I have attached a plot of what I am trying to accomplish as well as my
sample code.
If I understand correctly your problem, your equation is linear, and
you have continuous and integer variables (the string input can be
coded as a binary integer variable). Thus, you can use a package to
deal with mixed integer programming:

http://blog.revolutionanalytics.com/2016/12/mixed-integer-programming-in-r-with-the-ompr-package.html

Hope this helps you,

Paul

Thanks Paul.  Appreciate the help.  I'll give this a shot.  

Ryan James
D: 713.395.1794
M: 214.843.7301

-----Original Message-----
From: Paul Smith [mailto:phhs80 at gmail.com] 
Sent: Thursday, February 15, 2018 7:12 AM
To: Ryan James/E&P North America Business Division/SKI
Cc: r-help at r-project.org
Subject: Re: [R] Best Optimization Routines

On Tue, Feb 13, 2018 at 7:55 PM, JamesRyan(Ryan James)/E&P North America
Business Division <rjames at sk.com> wrote:
> I have a set of data, the production of oil from a well.  And an equation
to predict that forecast.
>
> The equation requires 5 input variables which are real numbers with upper
and lower bounds, 1 input variable which must be an integer and 1 input variable
which can be 1 of 2 string variables.
>
> What is the best optimization routine (I am using nlminb) to use in R to
determine the best set of inputs and how to I handle the integer and string
inputs when optimizing?
>
> I have attached a plot of what I am trying to accomplish as well as my
sample code.
If I understand correctly your problem, your equation is linear, and you have
continuous and integer variables (the string input can be coded as a binary
integer variable). Thus, you can use a package to deal with mixed integer
programming:

http://blog.revolutionanalytics.com/2016/12/mixed-integer-programming-in-r-with-the-ompr-package.html

Hope this helps you,

Paul