Add Secretary Bird Optimization Algorithm (SBOA) to bio_based

[ozgurk33]

Summary

This PR adds the Secretary Bird Optimization Algorithm (SBOA) to the bio-based algorithms collection.

Changes

• ✅ Implemented OriginalSBOA class in /mealpy/bio_based/SBOA.py
• ✅ Added comprehensive docstrings with examples and references
• ✅ Created unit tests in /tests/bio_based/test_SBOA.py
• ✅ Updated README.md bio-based table and references section

Algorithm Details

Paper: Fu, Y., Liu, D., Chen, J. et al. Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems. Artif Intell Rev 57, 123 (2024).

DOI: https://doi.org/10.1007/s10462-024-10729-y

MATLAB Code: https://www.mathworks.com/matlabcentral/fileexchange/164456

Type: Bio-based (bio-inspired) metaheuristic

Inspiration: Individual hunting and evasion behavior of secretary birds

Phases:

• Exploration: 3-stage hunting (search prey, approach prey, attack prey)
• Exploitation: 2-strategy escape (hiding, running away)

Why Bio-based?

• Models individual bird behavior, not collective swarm intelligence
• No inter-agent coordination
• Focuses on biological survival strategies
• Similar to: SBO, SMA, IWO, SOS

Validation

• ✅ Implementation validated 100% against MATLAB reference code
• ✅ All mathematical equations match the paper
• ✅ Code follows Mealpy conventions (based on SBO.py)
• ✅ Unit tests include parameter validation

Checklist

• Code follows project guidelines
• Docstrings with examples
• Unit tests with pytest
• README.md updated

Thank you for considering this contribution!