Workaround for Running Genetic Algorithm

Oct 13, 2025 by pinkandtrash.com 23 views

Introduction

The absence of a direct method to import Origin-Destination (OD) pairs into the database has been a significant limitation in various instances, particularly in simulations and the genetic algorithm. Although the code for this functionality exists in the backend, it is no longer accessible through the current interface. This article aims to provide a comprehensive understanding of the current situation and offer a workaround for running the genetic algorithm.

Current Limitations

The previous version of the batch route calculation form included an option to save OD pairs to the database. However, this feature has been removed, leaving users without a straightforward method to import OD pairs. The code responsible for this functionality remains in the backend, but its inaccessibility has hindered its utilization.

Workaround for Running Genetic Algorithm

For users who rely on the genetic algorithm, a workaround has been developed to circumvent the lack of direct import functionality. This process involves several steps, which are outlined below:

Step 1: Start a Batch Calculation with the File to Import

Begin by initiating a batch calculation with the file containing the OD pairs to be imported. This will trigger the necessary processes in the backend.

Step 2: Kill the Server Before the Task is Executed

It is essential to terminate the server before the task is executed. This step is crucial to prevent any potential conflicts or issues that may arise from the concurrent execution of the task and the server.

Step 3: Edit the Data Field of the Job in the Database

Navigate to the tr_jobs table in the database and locate the specific job associated with the batch calculation. Edit the data field of the job, which contains a JSON string.

Step 4: Replace the `"saveToDb": false` Value

Within the JSON string, locate the "saveToDb": false value and replace it with the following string: "saveToDb":{"type":"new","dataSourceName":"odTrips"}. Ensure that you replace the odTrips value with the desired data source name.

Step 5: Restart the Server

After modifying the JSON string, restart the server to apply the changes.

Step 6: OD Pairs will be Saved at the End of the Job

Once the server is restarted, the OD pairs will be saved to the database at the end of the job. This workaround enables users to import OD pairs into the database, albeit through an indirect method.

Conclusion

Q&A: Frequently Asked Questions

Q: Why is there no direct method to import OD pairs into the database? A: The previous version of the batch route calculation form included an option to save OD pairs to the database. However, this feature has been removed, leaving users without a straightforward method to import OD pairs. The code responsible for this functionality remains in the backend, but its inaccessibility has hindered its utilization.

Q: What is the current workaround for running the genetic algorithm? A: The current workaround involves starting a batch calculation with the file to import, killing the server before the task is executed, editing the data field of the job in the database, replacing the "saveToDb": false value with the desired data source name, restarting the server, and allowing the OD pairs to be saved at the end of the job.

Q: Why is it necessary to kill the server before the task is executed? A: Killing the server before the task is executed prevents any potential conflicts or issues that may arise from the concurrent execution of the task and the server. This ensures that the task is executed successfully and the OD pairs are saved to the database.

Q: What is the significance of replacing the "saveToDb": false value? A: Replacing the "saveToDb": false value with the desired data source name enables the OD pairs to be saved to the database. This value specifies the type of data source and the name of the data source, which is used to store the OD pairs.

Q: Why is it necessary to restart the server after modifying the JSON string? A: Restarting the server after modifying the JSON string applies the changes and enables the OD pairs to be saved to the database. This ensures that the changes are reflected in the database and the OD pairs are saved successfully.

Q: What are the potential consequences of not following the workaround correctly? A: Not following the workaround correctly may result in errors or issues with the task execution, data corruption, or failure to save the OD pairs to the database. It is essential to follow the steps outlined in the workaround carefully to ensure successful execution and data saving.

Q: Is there a plan to reintroduce the direct method to import OD pairs into the database? A: There is no official plan to reintroduce the direct method to import OD pairs into the database at this time. However, the workaround outlined above provides a viable solution for users who require this functionality.

Q: Can I use this workaround for other tasks or scenarios? A: The workaround outlined above is specific to the genetic algorithm and may not be applicable to other tasks or scenarios. It is essential to consult the documentation and user guides for specific instructions and guidance on using the workaround for other tasks or scenarios.

Conclusion

The absence of a direct method to import OD pairs into the database has presented a significant challenge for users, particularly those relying on the genetic algorithm. However, the workaround outlined above provides a viable solution for this issue. By following the steps outlined in this article, users can successfully import OD pairs into the database, albeit through an indirect method.