Add Electric Eel Foraging Optimization (EEFO) algorithm

[Orbadgu]

📑 Description

I have implemented the Electric Eel Foraging Optimization (EEFO) for the swarm_based module, following the methodology described in the original paper by Zhao et al. (2024). This implementation follows the original mathematical formulas, strictly porting the logic 1:1 from the original MATLAB source code.
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.

Algorithm Details:

• Name: Electric Eel Foraging Optimization (EEFO)
• Paper: Zhao et al., "Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications", Expert Systems with Applications, 2024.
• DOI: https://doi.org/10.1016/j.eswa.2023.122200

✅ 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

Comparison of benchmark tests between Original MATLAB code & Python implementation:

• Configuration: Epoch = 500, Pop_Size = 50, Runs = 30
• Note: Results for F10, F15, and F21 are mathematically identical. Minor deviations in F5 and F7 are expected due to RNG differences between Python/MATLAB.

Function	Name	MATLAB Result (Mean)	Python Result (Mean)
F5	Rosenbrock	4.0728e-08	1.7773e-06
F7	Quartic	1.6451e-04	1.6291e-04
F10	Ackley	4.4409e-16	4.4409e-16
F15	Kowalik	3.0749e-04	3.0749e-04
F21	Shekel 5	-1.0153e+01	-1.0153e+01