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:phh...@gmail.com] Sent: Thursday, February 15, 2018 7:12 AM To: Ryan James/E&P North America Business Division/SKI Cc: r-help@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 <rja...@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 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
