September 5, 2025ComplexityOpen Access

Evolutionary External Archive for Gaining‐Sharing Knowledge–Based Algorithm

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This paper proposes an evolutionary external archive to enhance optimization performance, revealing significant improvements in GSK and its variants.

The evolutionary external archive significantly boosts the performance of the GSK algorithm and its variants, enhancing optimization outcomes.
The experimental analysis utilized benchmark test suites and revealed GSK with the archive outperformed traditional algorithms in optimization tasks.
Utilizing an evolutionary procedure based on CMA‐ES, the method fosters diversity in the evolutionary process by integrating population individuals.
The results confirmed the efficacy of the GSK variant, AGSK, which is now recognized as competitive against benchmark algorithms.

Li et al. (2025) studied this question.

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This paper proposes an evolutionary external archive to enhance optimization performance, revealing significant improvements in GSK and its variants.