Artificial Bee Colony Algorithm with Directed Scout

Abstract

As a relatively new model, the Artificial Bee Colony Algorithm (ABC) has shown impressive success in solving optimization problems. Nevertheless, its efficiency is still not satisfactory for some complex optimization problems. This paper has modified ABC and its other recent variants to improve its performance by modify the scout phase. This modification enhances its exploitation ability by intensifying the regions in the search space, which probably includes reasonable solutions. The experiments were performed on the CEC2014 benchmark suite, CEC2015 benchmark functions, and three real-life problems: pressure vessel design problem, tension and compression spring design problem, and Frequency-Modulated (FM) problem. And the proposed modification was applied to basic ABC, Gbest-Guided ABC, Depth First Search ABC, and Teaching Learning Based ABC, and they were compared with their modified counterparts. The results have shown that our modification can successfully increase the performance of the original versions. Moreover, the proposed modified algorithm was compared with the state-of-the-art optimization algorithms, and it produced competitive results.

Improved ABC Algorithm Based 3D Otsu for Breast Mass Segmentation in Mammogram Images

“…Recent contributions focus on applying recently discovered optimization methods to multilevel thresholding-related tasks [16,18]. New thresholding approaches with higher accuracy and more information richness in segmented images are being presented nowadays [19,13].…”

“…Ewees et al [19] combined the ABC and sine-cosine algorithm (ABCSCA) to improve MTIS effectiveness and used the suggested approach to segment images using Otsu and Kapur's entropy. Saleh et al [18] proposed ABCDS (directed scout) improved the performance of ABC and its more recent variations by altering the scout phase. This change improves its exploitation capability by enlarging the regions of the search space that are likely to include viable solutions.…”