In this paper, a review of Metaheuristic Optimization Techniques (MOT) which are currently
in use for optimization in a vast range of problems, is presented. MOT are known for their …

Artificial bee colony (ABC) algorithm is a popular optimization algorithm with excellent
exploration ability and various applications. Nevertheless, its effectiveness is limited by the …

This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …

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

Artificial bee colony has received much attention in recent years as a competitive population-
based optimization algorithm. However, its slow convergence speed and one-dimensional …

Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the
industrial processes using artificial intelligence within the cyber–physical systems. In the IIoT …

Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …

Multi-threshold segmentation is widely used in image segmentation, but its computational
complexity increases with the number of thresholds, which can compromise segmentation …

With the increasing speed of railway vehicles, deciding how to reasonably distribute impact
energy to each vehicle has been a widespread concern in safety protection systems. This …

When solving constrained optimization problems (COPs) with high-dimension and multi-
extreme problems, genetic algorithm (GA) has the issue of trapping into local optimum …