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Finally, a stand-alone Interactive Optimizer executable is provided for debugging and other purposes. There is a Python language interface based on the C interface. The CPLEX Optimizer has a modeling layer called Concert that provides interfaces to the C++, C#, and Java languages. The IBM ILOG CPLEX Optimizer solves integer programming problems, very large linear programming problems using either primal or dual variants of the simplex method or the barrier interior point method, convex and non-convex quadratic programming problems, and convex quadratically constrained problems (solved via second-order cone programming, or SOCP). CPLEX continues to be actively developed by IBM. This was acquired by ILOG in 1997 and ILOG was subsequently acquired by IBM in January 2009. Bixby and sold commercially from 1988 by CPLEX Optimization Inc. To use the python-cplex wrapper, modify your $PYTHONPATH variable as following: export PYTHONPATH=/gpfs/research/software/ibm/CPLEX_Studio125/cplex/python/lib/python2.The CPLEX Optimizer was named for the simplex method as implemented in the C programming language, although today it also supports other types of mathematical optimization and offers interfaces other than C. Information on the specifics of the MATLAB implementation can be found on the IBM website or this PDF. The MATLAB solvers are located in the directory /gpfs/research/software/ibm/CPLEX_Studio125/cplex/matlabįrom here, using MATLAB to solve optimization problems is no different than what is described in the available tutorials online. Open MATLAB by first loading the module matlab, and execute with the command matlab. The CPLEX solver library is also available for use in MATLAB.
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IBM ILOG CPLEX OPTIMIZATION STUDIO IDE HOW TO
Further explanations on how to use the IDE can be found here. The results from the run will be displayed in the Solutions tab on the bottom right corner of the GUI. To run the program, in the window with the folder named sequence, right click the folder and select Run > Basic Configuration (Default). Under IBM ILOG OPL Examples, select the Assembly Sequencing example. To load one of the examples, go to File > Import > Example. After loading the module, the GUI version can be opened with the command oplide. GUI IDE Versionįor the GUI version, log in to the HPC using the -Y flag in order to pipe X. More information about the -r option can be found in the documentation in the admipex1.c file. admipex1 mexample.mpsĮither of these will successfully run. To run the program, the data file must be used as an argument to the executable. Note that just using make will compile all the C, C++, and Java examples, but will not copy the example data files into the directory. Open the Makefile and comment out the CPLEXDIR and CONCERTDIR lines, as these are already specified when loading the module cplex_studio. First create a directory and copy the program, makefile, and example data set into it: $CPLEXDIR/examples/src/c/admipex1.c For this example, a C program, admipex1.c, found in the src folder will be used to demonstrate how to properly compile and run an example program that utilizes the cplex library. Various data files are located here in addition to optimization routines written in a number of languages (C, C++, and Java). Compiled Language Example OptimizationĮxamples can be found in the examples folder, located in the folder (after loading the module) $CPLEXDIR/examples From here, problem parameters can be specified interactively and solved using a number of the solver routines available in the program. Running IBM ILOG CPLEX Optimization on RCC Resources: Command Line Versionįor the interactive command line version of the program, log in to the HPC and load the module cplex_studio. IBM ILOG CPLEX Optimization is a mathematical optimization program designed for enterprise-level decision support.