IBM ILOG CPLEX Optimization Studio Reviews

I just use it for solving mixed integer program models.

It performs well, depending on the problem structure. Some problems have a lot less structure so they can be solved very fast, even when they are very large scale problems. But it's tricky. I don't know why, but sometimes it works very fast and other times I cannot solve it in a reasonable amount of time.

It helps me a lot. CPLEX is a tool that can kind of visualize your prediction and help you understand the problem better. For example, for every SOS you can just format a model, which could be an inner model or mixed integer model, that can be solved by CPLEX. You can then see the results to verify your idea, or you can modify your idea.

I try to use CPLEX for the supply chain optimization problem.

I think that the most valuable feature is the integer program. It is powerful. 

I haven’t used CPLEX for many years and I just recently used it again. I needed to familiarize myself with it again, refresh my knowledge of the interface and the new system. I like the new system better. It is more convenient and has a good interface.

I like that it is fast, though this depends on different problems. To my knowledge, it is valuable for the integer and mixed-integer linear. Not for nonlinear, though. For nonlinear I would recommend other tools.

Optimization, mathematical modeling. It's been quite satisfactory so far. It's my choice application.

What I like most about CPLEX that it can be called or it can work with many other applications. You can use it with AMPL, which is an application that I use frequently. You can call it, as far as I know from C++ or C#, which I did in the past. Then there's the OPLs suite that you can also use. What I like the most about it is you can actually have access to CPLEX through different interfaces.

And the fact that it can effectively solve integer models, which, most of the time, that's what we deal with.

We are modeling different problems such radiation therapy optimization using CPLEX.

It is great, actually. It is great for small to medium size problems. When it goes to larger problems it is slow, but it is still understandable, it is still manageable.

Simplicity, and it's very comprehensive, a lot of information is there. And because many people are using it you can find almost whatever your question is online.

Another feature that I like is that you can do a lot of constraint programming, which is a unique feature in CPLEX, you cannot do this almost anywhere else.

I use it for building mathematical optimization models for scheduling and assignment kind of models.

It has performed very well.

Definitely the speed of the response time. But, I get to also play a lot of variables, also configuration parameters, which CPLEX uses. I think these two features are important. 

A third feature that I find to  be very valuable is the Concert library. I am used to using CPLEX with the old fashioned C++ library, where I have very easily integrated with the C++ framework. I can now also use this Concert library in the same way that I can use the CP, Constant Propagation, as well as CPLEX, which is the optimization. So, having both of the technologies in the same library is a very important feature to me, maybe the most important feature.

I use it primarily for my research. My research involves a lot of solving, a lot of integer programs and linear programs, and I primarily use CPLEX for doing that.

It has been very good for me. It has helped me a lot in my research.

I think the speed, compared to other competitive software, is one of the things that I really like about CPLEX.

It also provides a very easy to use interface.

This is for research, I try to develop some optimization models. I solve the problem, I write in Python, and then interface with the CPLEX package. The performance has been pretty good. I think the speed is pretty fast, although I think the interface with Python is not as friendly, because the way that you put in the data is not that intuitive.

Usually it solves problems really fast, so that's what's most important to me.

Modeling, solving the models, things like this.

It performs really well. I have experienced some trouble in the input data, but that's probably my fault more than CPLEX's fault.

It is good at solving models and it offers a lot of different solution methodologies that are already built-in, so it is pretty fast.

The overall benefit is that it makes it easy to validate models.