Optimization Excellence with IBM CPLEX Optimization Studio
Rating: 9 out of 10
Use Cases and Deployment Scope
Most used features of this tool are modelling and solving linear and mixed-integer problems with more than 10,000 variables, shadow price analysis and visualization capabilities. Only issue is with non convex optimization capabilities.
Pros
- Linear Programming
- Mixed-Integer Linear Programming
- Non-Linear Convex-Optimization
- Visualization
- Shadow Price Analysis
- Parameter Tuning
Cons
- Non-convex Optimization problems
- In my opinion, difficult to integrate with existing software
- In my opinion, difficult to use for a new user with no modelling background
- High memory hardware required for its usage
- Expensive commercial license
Likelihood to Recommend
In my opinon, if the problem is less than 5000 variables, one should try to solve with free available solver rather than directly going for a commercial license of IBM CPLEX Optimization Studio. In my opinion, if the priority is not in terms of solving time with higher number of variables, even then one can go for free solvers like CBC, IPOPT, SCIP. In my opinion, if priority is solving time and number of variables is also high, only in that case one should prefer going for a commercial license.
Vetted Review
2 years of experience