Improved Seagull Optimization Algorithm (ISOA)

MATLAB implementation of Improved Seagull Optimization Algorithm (ISOA) using Opposition-Based Learning, Centroid Guidance, and Levy Flights

https://doi.org/10.1109/RAEEUCCI67649.2026.11504593

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2026/6/23

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This package provides the MATLAB implementation of the Improved Seagull Optimization Algorithm (ISOA).
ISOA enhances the original Seagull Optimization Algorithm (SOA) by incorporating:
1. Opposition-Based Learning (OBL) for improved diversity.
2. Centroid Guidance mechanism for effective search direction.
3. Lévy Flight strategy for enhanced exploration capability.
The algorithm is developed for solving optimization problems and benchmark function evaluation.
Reference:
P. Samal,
"An Improved Seagull Optimization Algorithm with Opposition-Based Learning, Centroid Guidance, and Lévy Flights,"
2026 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Chennai, India, 2026, pp. 1-6,
doi: 10.1109/RAEEUCCI67649.2026.11504593.
Files included:
- ISOA.m : Main optimization algorithm
- ISOA_Main.m : Demonstration script
- initialization.m : Population initialization
- Get_Functions_details1.m : Benchmark function definition
Developed by:
Dr. Padarbinda Samal

引用

P. Samal, "An Improved Seagull Optimization Algorithm with Opposition-Based Learning, Centroid Guidance, and Lévy Flights," 2026 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Chennai, India, 2026, pp. 1-6, doi: 10.1109/RAEEUCCI67649.2026.11504593.

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