Add Dandelion Optimizer (OriginalDandelionO) implementation to swarm_…

[halilakbas11]

Closes #233

📑 Description

I have implemented the Dandelion Optimizer (DandelionO) for the swarm_based module, following the methodology described in the original Dandelion Optimizer paper by Zhao et al. This implementation follows the original mathematical formulas, both from original MatLAB implementation code and the original Dandelion Optimizer paper. To ensure computational efficiency and integration with the mealpy standards, the algorithm is built using fully vectorized NumPy operations and inherits directly from the mealpy Optimizer class.

• Implementation of the algorithm in Python/mealpy standards [x] Completed
• Adding DandelionO to the .mealpy/init file [x] Completed
• Modifying the GitHub login page interface [ ] Not Completed

✅ Checks

• My pull request adheres to the code style of this project
• My code requires changes to the documentation
• I have updated the documentation as required
• All the tests have passed

ℹ Additional Information

Comparision of CEC-2017 tests between original paper results & python implementation results:
Configuration: Dim = 50, Pop = 60, Epoch = 1000, Runs = 10 & unknown

Function	Type	Python ver. result (Mean)	Article result (Mean)*
F1	Unimodal	6.76E+07	1.29E+06
F5	Simple Multimodal	5.00E+02	8.29E+02
F9	Simple Multimodal	8.86E+03	1.46E+04
F15	Hybrid	4.29E+04	5.12E+04
F19	Hybrid	4.14E+03	1.59E+05

* Article results extracted from Table 3 of Zhao et al. (2022).