write program on ibm ilog cplex optimization studio

The documentation looks like it was written for someone who’s already been using CPLEX, i.e. The official documentation for this library is located at IBM Decision Optimisation Github Page. The library is advertised to be compatible with panda and numpy.

docplex.cp: taps into CP Optimiser APIs, cp stands for constraint programming.docplex.mp: taps into CPLEX Optimiser APIs, mp stands for mathematical programming.It’s a Python library composed of two modules: What’s DOcplex? #ĭOcplex stands for Decision Optimisation CPLEX. In part one, I did mention a full GUI but at this point but after some considerations, there’s no use case for a UI at the moment. In this post, I’ll take a look at first converting the existing weighted model to Python, proceed with adding additional weights to the model and finally deploy the model to run on IBM Cloud with Watson Machine Learning.

However, I hit a no-documentation barrier when started using the staticLexFull() function and found the DOcplex.mp Python example to be a more readable. In part 1, I created some multi-objective optimisation models with OPL using both the CP Optimiser and CPLEX Optimiser.

Write program on ibm ilog cplex optimization studio