Multilevel thresholding is one of the most effective image segmentation methods, due to its efficiency and easy implementation. This study presents a new multilevel method based on modified artificial ecosystem-based optimization (AEO). The differential evolution (DE) applied overcome shortcomings original AEO. main idea proposed method, (AEODE), employ operators DE as local search AEO improve ...

The hard thresholding technique plays a vital role in the development of algorithms for sparse signal recovery. By merging this and heavy-ball acceleration method which is multi-step extension traditional gradient descent method, we propose so-called heavy-ball-based (HBHT) pursuit (HBHTP) It turns out that HBHT HBHTP can successfully recover k-sparse if restricted isometry constant measurement...