Optimization platform process diagram
This diagram shows the general Optimization modeling process:
- Data Collection
- Datasets: Import your data and save it in an accessible format for further processing.
- Groups: Collect multiple datasets in a single group so as to fed these multiple datasets to the quest in a single go.
- Optimization quests: Select the respective group(multiple datasets), prepare the data, build the optimization problem using setup model, select the configured setup model and apply the respective solver using optimize model activity and run, and then review the results of the model. Move the most optimized problem to production and deploy it to run for real time.
- Endpoints: View and test the deployed models.