Customize Settings for Errors and Warnings

This article explains how you can control errors and warnings within AIMMS. We’ll include some useful tips to create better models.

Errors versus warnings

In AIMMS, the difference between errors and warnings is summed up:

  • Errors indicate that something is not correct.

  • Warnings indicate that something might not be completely correct.

An error states what is wrong, and in most cases it is hard to argue that the issue raised could be right otherwise. For instance, if you get the error The identifier "solv" has not been declared, you know that you should either create the identifier solv or change solv into solve. However, you will never be able to prove that it was intended to be used as solv.

On the other hand, a warning such as Warning: The parameter "InitialValue" is not initialized (default values are used) is not entirely black and white. This data could still be calculated in the model, or maybe you intentionally skipped the reading of this data for now. In those cases, the warning can be ignored and no action is needed. Of course, it is also possible that you forgot to map this identifier to a column in your database. In that case, it is nice that AIMMS tells you that you missed something, because then you can fix it.

Option values

You may find all related warning options in the Project options (Settings → Project Options…)


AIMMS has options that allow you to control almost every warning in AIMMS. These options have the following possible values:

  1. Off

  2. Warning Collect

  3. Common Warning Default

  4. Warning Handle

  5. Strict Warning Default

  6. Error

If you set this value to off, AIMMS will ignore this error/warning. The values Error, Warning Collect, and Warning Handle can be used to indicate that AIMMS should give an error or warning directly, either to the global or first error handler. The values Common Warning Default and Strict Warning Default specify the behavior indirectly. These latter ones are used to indicate that AIMMS should behave according to the options Common Warning Default and Strict Warning Default.

The idea behind Common Warning Default and Strict Warning Default is that it allows you to turn on or off a lot of options at the same time. The default value of Common Warning Default is Warning Handle, meaning that all options that are set to follow this option will initially give a warning (or send to the nearest error handler). The option Strict Warning Default is initially set to off, meaning that all warnings that are set to follow this option will be ignored.


Best practices

Some warnings emerge when you just started to develop or extend your model. They might be the result of a work in progress. However, AIMMS will still throw a bunch of errors at you. You first reaction might be to set the value of the associated option to off, so that you won’t be bothered by this again. However, you will not see these warnings again in the future, when they might actually be useful.

We recommend that you set this option to Strict Warning Default or, if you have a lot of different warnings, that you set the option Common Warning Default to off. You can now continue to develop your model, without so many warnings.

As a second step, you may set the options Common Warning Default and Strict Warning Default to Warning Collect/Warning Handle occasionally, especially when you are about to share your developments with the end-user. This gives you the opportunity to do a more thorough examination of your model.

After you set these options, you need to run a few typical instances of your model and examine all warnings to make sure they don’t indicate an actual problem. Once you have done that, and perhaps fixed any pending errors, you can set the options back or leave them as warnings, in case they are all fixed. In any case, you know that you have not missed any important warnings.

Deployment mode

AIMMS will not generate warnings when running the model in deployment mode by default. The reason is that in most cases, the end-user cannot do anything to fix them. You can override this behavior by setting the option Communicate warnings to end users to on.



You may refer to our online training about error handling following this link.