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I've noticed a significant difference in performance between versions 2.5.3 and 3.0.1 of the mealpy library when using the CL_PSO algorithm.
In version 2.5.3, the CL_PSO algorithm supported parallelization, which resulted in much faster computations. However, in version 3.0.1, I receive the following warning message:
2024/12/29 10:11:45 PM, WARNING, mealpy.swarm_based.PSO.CL_PSO: CL_PSO doesn't support parallelization. The default mode 'single' is activated.
As a result, the algorithm now works noticeably slower.
Could you clarify:
Why was parallelization abandoned for CL_PSO in the newer version?
Are there plans to reintroduce parallelization for this algorithm in future releases?
Thank you for your work on the library! I'm looking forward to your response.
Steps To Reproduce
.
Additional Information
No response
The text was updated successfully, but these errors were encountered:
Have you solved the problem? I checked the attributes of several PSO algorithms. They say they can support parallel modes. But I cannot run them in process or threads mode.
Hi guys, I'm kinda busy this time, but this request will be handled in the following weeks. Please be patient, the next updated version will be amazed. Now, just enjoy what we have here.
Description of the bug
Hi,
I've noticed a significant difference in performance between versions 2.5.3 and 3.0.1 of the mealpy library when using the CL_PSO algorithm.
In version 2.5.3, the CL_PSO algorithm supported parallelization, which resulted in much faster computations. However, in version 3.0.1, I receive the following warning message:
2024/12/29 10:11:45 PM, WARNING, mealpy.swarm_based.PSO.CL_PSO: CL_PSO doesn't support parallelization. The default mode 'single' is activated.
As a result, the algorithm now works noticeably slower.
Could you clarify:
Thank you for your work on the library! I'm looking forward to your response.
Steps To Reproduce
.
Additional Information
No response
The text was updated successfully, but these errors were encountered: