How To Fix /SAPAPO/CDPSOPT805 - Genetic algorithm has finished


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/CDPSOPT -

  • Message number: 805

  • Message text: Genetic algorithm has finished

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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/CDPSOPT805 - Genetic algorithm has finished ?

    The SAP error message /SAPAPO/CDPSOPT805 indicates that the genetic algorithm used in the SAP Advanced Planning and Optimization (APO) module has completed its execution. This message is typically informational rather than an error, meaning that the algorithm has finished running, and it may not necessarily indicate a problem.

    Cause:

    1. Completion of Algorithm: The message is triggered when the genetic algorithm has completed its optimization process. This can happen during planning runs where the system is trying to optimize production, distribution, or other supply chain processes.
    2. Configuration Settings: The settings for the genetic algorithm may have been configured to run for a specific duration or until a certain condition is met, leading to the completion of the process.

    Solution:

    1. Review Results: After the message appears, check the results of the optimization run. Ensure that the output meets your expectations and that the planning results are as intended.
    2. Adjust Parameters: If the results are not satisfactory, consider adjusting the parameters of the genetic algorithm. This may include changing the population size, mutation rates, or other settings that influence the algorithm's performance.
    3. Monitor Performance: If the algorithm is taking too long to complete or not providing useful results, monitor the performance and consider optimizing the data or the algorithm settings.
    4. Consult Documentation: Refer to SAP documentation or help resources for more detailed information on the genetic algorithm settings and how to optimize them for your specific use case.

    Related Information:

    • SAP APO: The Advanced Planning and Optimization module is part of the SAP Supply Chain Management suite, which helps organizations optimize their supply chain processes.
    • Genetic Algorithm: This is a search heuristic that mimics the process of natural selection to generate useful solutions to optimization and search problems.
    • Transaction Codes: Familiarize yourself with relevant transaction codes in SAP APO that can help you analyze and adjust planning runs, such as /SAPAPO/CDPSOPT for optimization runs.

    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 refer to SAP Notes for specific troubleshooting steps.

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