A drop-in search-enhancement module for population-based meta-heuristics. HTSD stores elite historical trajectories within a sliding window, applies SVD/PCA to extract dominant search directions, and decomposes the search space into a trend subspace and its orthogonal complement. It exploits along historically promising directions while exploring under-sampled orthogonal regions. A stagnation-aware controller adaptively regulates the exploitation and exploration weights.
引用格式
Mingyang (2026). HTSD-Framework for Evolutionary Algorithms (https://ww2.mathworks.cn/matlabcentral/fileexchange/183750-htsd-framework-for-evolutionary-algorithms), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.0 |
