Decision Optimization

Decision Optimization

Delivers prescriptive analytics capabilities and decision intelligence to improve decision-making.

 View Only
  • 1.  Capabilities of CPLEX Optimization Studio

    Posted Wed October 14, 2015 09:46 AM

    Originally posted by: Yashgt


    Hi,

    I followed the tutorial at http://www-01.ibm.com/support/knowledgecenter/SS9UKU_12.5.0/com.ibm.cplex.zos.help/GettingStarted/topics/tutorials/Cplusplus/cpp_synopsis.html and a few other links.

    I have the following questions:

    1.    The examples indicate that the Concert Technology can be used to connect to a local solve engine. Is there a way we can connect from a C++ application to a remote solve engine?

    2.    CPLEX Enterprise Server apparently is hosted on a Websphere AS and can be interacted with remotely. Can a C++ application interact with it?

    3.    I also read that the Java API for client-server access internally invokes a web service. Can we call the web service from a C++ application? Is the web service documented somewhere?

    4.    My model contains an objective function such as maximize V1*X1 + V2*X2 ..... where Vi and Xi are both values from a relational DB that has my own schema. The objective function changes everyday based on the values present in the DB on that day, but is always of the form V1 * X1 + V2 * X2 + .... Also, the constraints need to be generated based on the records in my database.    Can OPL be used to design a model that updates itself by reading the database?

    5. Can we define a model using OPL in the IDE and call it using Concert Technology or any other way locally if remote invocation is not supported?

    Thanks,
    Yash


    #CPLEXOptimizers
    #DecisionOptimization


  • 2.  Re: Capabilities of CPLEX Optimization Studio

    Posted Mon October 19, 2015 01:15 AM

    If I understand correctly, then all your questions are related to CPLEX Enterprise Server and OPL? Can you please try the OPL Forum . There you will find people who are more knowledgeable about this stuff.


    #CPLEXOptimizers
    #DecisionOptimization