Dragonfly algorithm (DA) is a novel swarm intelligence meta-heuristic optimization algorithm
inspired by the dynamic and static swarming behaviors of artificial dragonflies in nature. It …

This paper thoroughly introduces a comprehensive review of the so-called Dragonfly
algorithm (DA) and highlights its main characteristics. DA is considered one of the promising …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the
hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) …

In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …

System-on-Chip (SoC) is a structure in which semiconductor components are integrated into
a single die. As a result, testing time should be reduced to achieve a low cost for each chip …

Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …

By assist of novel evolutionary science, the classification accuracy of neural computing is
improved in analyzing the bearing capacity of footings over two-layer foundation soils. To …

The conventional thresholding methods are very efficient for bi-level thresholding, but the
computational complexity may be excessively high for color image multilevel thresholding …

The existing methodologies used for multilevel thresholding are not efficient in terms of both
accuracy and computation time. Two-dimensional histogram-based techniques are better in …