Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

One of the most crucial aspects of image segmentation is multilevel thresholding. However,
multilevel thresholding becomes increasingly more computationally complex as the number …

Abstract Sine Cosine Algorithm is a recently developed algorithm based on the
characteristics of sine and cosine trigonometric functions, to solve global optimization …

Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …

Segmentation is an important method for MRI medical image analysis as it can provide the
radiologists with noninvasive information about a patient that is crucial to the diagnostic …

Wireless sensor networks, as an emerging paradigm of networking and computing, have
applications in diverse fields such as medicine, military, environmental control, climate …

Gliomas belong to the group of the most frequent types of brain tumors. For this specific type
of brain tumors, in its beginning stages, it is extremely complex to get the exact diagnosis …

Thanks to fewer numbers of control parameters and easier implementation, the Elephant
Herding Optimization (EHO) has been gaining research interest during the past decade. In …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …