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I hope this message finds you well. I am working with your open-source project and have a couple of questions that I believe you can provide insight on.
Fitness Score Location: I am trying to understand where the fitness score is calculated and stored within the source code. Could you please point me to the specific section or file where this is handled? This information is crucial for my understanding and potential modifications to the project.
Algorithm Experimentation: I noticed that your implementation utilizes the soea_DE_currentToBest_1_bin_templet, a differential evolution algorithm from Geatpy. I am curious if you have experimented with other genetic algorithms available in Geatpy, such as genetic algorithms or evolutionary strategies. I am currently working on the corresponding tasks in this area. Would you have any recommendations on how to proceed with such experiments?
Your guidance on these matters would be greatly appreciated as I aim to enhance the project's capabilities and performance.
Thank you for your time and support. I look forward to your response.
Best regards
The text was updated successfully, but these errors were encountered:
I have only attempted the method soea_DE_currentToBest_1_bin_templet, which was configured to initiate the population from the default values. You may wish to explore other methods.
Hello!
I hope this message finds you well. I am working with your open-source project and have a couple of questions that I believe you can provide insight on.
Fitness Score Location: I am trying to understand where the fitness score is calculated and stored within the source code. Could you please point me to the specific section or file where this is handled? This information is crucial for my understanding and potential modifications to the project.
Algorithm Experimentation: I noticed that your implementation utilizes the soea_DE_currentToBest_1_bin_templet, a differential evolution algorithm from Geatpy. I am curious if you have experimented with other genetic algorithms available in Geatpy, such as genetic algorithms or evolutionary strategies. I am currently working on the corresponding tasks in this area. Would you have any recommendations on how to proceed with such experiments?
Your guidance on these matters would be greatly appreciated as I aim to enhance the project's capabilities and performance.
Thank you for your time and support. I look forward to your response.
Best regards
The text was updated successfully, but these errors were encountered: