In this paper, a novel swarm‐based metaheuristic algorithm is proposed, which is called
tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative …

The scientific field of optimization has witnessed an increasing trend in the development of
metaheuristic algorithms within the current decade. The vast majority of the proposed …

Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …

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

This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …

In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …

The shape optimization of complex curves is a crucial and intractable technique in computer
aided geometric design and widely used in many product design and manufacturing fields …

Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …

The topological structure of the search agents in the swarm is a key factor in diversifying the
knowledge between the population and balancing the designs of the exploration and …

Slime mould algorithm (SMA) is a population‐based metaheuristic algorithm inspired by the
phenomenon of slime mould oscillation. The SMA is competitive compared to other …