Tips for optimising forest models
Wednesday 5 May 2021(Remsoft) Three techniques for improving optimisation model performance – There are many variables that can impact the performance of your optimization models. Gain insights from your model faster by applying these best practices. To address complex challenges in your forestry planning and scheduling activities, you rely on a variety of key insights produced from your optimization models for agile and accurate decision-making.
Building, managing, and analysing models is a dynamic process. To maximize time for analysis, models must be efficient and run as quickly as possible. While there are multiple ways to improve your model performance in Woodstock, output structure is a key area that will be explored in our upcoming “Debugging and Due Diligence” training.
Why is output structure important? – In Woodstock, outputs are the key to analysis and the means of declaring objectives and creating reports, allowing you to interact with and gain insight into the model and its behaviour. You use outputs to declare objective functions and constraints (that is, to describe the characteristics of the desired solution) and for reporting and analysis. Without them, the model would run but would be practically useless.
Output structure has the most impact on the size of — and time to build — the matrix, so it is important to be aware that your output formulations can influence the time required for Woodstock to process the model, be it building a matrix or generating reports and graphs.
Keep in mind that Woodstock provides a range of detailed reports that you can use to report values of interest, rather than creating separate outputs for various combinations of types, actions, and yields.
>When in doubt, simplify
> Minimize the number of output nodes
>Avoid using summary and mixed-summary outputs
> Avoid building outputs that are constants
> Look for opportunities to streamline
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