How To Fix /SAPAPO/OPT_SEQ_STA012 - Genetic Algorithm Complete


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/OPT_SEQ_STA -

  • Message number: 012

  • Message text: Genetic Algorithm Complete

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/OPT_SEQ_STA012 - Genetic Algorithm Complete ?

    The SAP error message /SAPAPO/OPT_SEQ_STA012 Genetic Algorithm Complete is typically related to the optimization process in SAP Advanced Planning and Optimization (APO). This message indicates that the genetic algorithm used for optimization has completed its execution. However, it may not necessarily indicate an error; rather, it can be a status message indicating the end of the optimization process.

    Cause:

    1. Optimization Completion: The message is generated when the genetic algorithm has finished running. This could be due to the algorithm reaching its maximum number of iterations, achieving a satisfactory solution, or running out of time.
    2. No Errors Detected: If the optimization process completed without any issues, this message is simply informational.
    3. Configuration Issues: If the optimization did not yield expected results, it could be due to configuration settings or input data issues.

    Solution:

    1. Review Results: Check the optimization results to ensure that they meet your expectations. Look for any output logs or reports generated by the optimization process.
    2. Adjust Parameters: If the results are not satisfactory, consider adjusting the parameters of the genetic algorithm, such as population size, mutation rate, or the number of generations.
    3. Data Validation: Ensure that the input data used for the optimization is accurate and complete. Missing or incorrect data can lead to suboptimal results.
    4. Consult Documentation: Refer to SAP documentation for specific details on the genetic algorithm settings and how to interpret the results.
    5. Monitor Performance: If the optimization is taking too long or not converging, monitor the performance of the system and consider optimizing the algorithm settings or the underlying data model.

    Related Information:

    • SAP APO Documentation: Review the official SAP APO documentation for detailed information on genetic algorithms and optimization processes.
    • SAP Community: Engage with the SAP Community forums to see if other users have encountered similar messages and how they resolved them.
    • SAP Notes: Check for any relevant SAP Notes that might address known issues or provide guidance on optimization processes.

    If you continue to experience issues or if the message is accompanied by other error messages, it may be beneficial to consult with your SAP support team or a technical consultant who specializes in SAP APO.

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