Enhanced Gaining-Sharing Knowledge-based algorithm
https://doi.org/10.1016/j.rico.2025.100542
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Highlights
- •Enhanced Gaining-Sharing Knowledge-based algorithm (eGSK) to solve unconstrained optimization problems over continuous space is proposed.
- •The basic inspiration for the modification consists of (adjust selection criteria, modify parameters setup, and escape from local minimum solution), respectively.
- •Comparisons and statistical tests were made with the original GSK and other algorithms to verify and analyze (eGSK) algorithm performance.
- •Numerical experiments were conducted on 29 test problem sets in 10, 30, 50, and 100 dimensions from the CEC 2017 benchmark.
- •Experimental results show that (eGSK) outperforms others in terms of robustness, convergence, and quality of the solutions obtained.
引用
mohamed (2026). Enhanced Gaining-Sharing Knowledge-based algorithm (https://jp.mathworks.com/matlabcentral/fileexchange/181280-enhanced-gaining-sharing-knowledge-based-algorithm), MATLAB Central File Exchange. に取得済み.
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