This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …

In this paper, to keep the researchers interested in nature-inspired algorithms and
optimization problems, a comprehensive survey of the group search optimizer (GSO) …

Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …

This review paper presents a comprehensive and full review of the so-called optimization
algorithm, multi-verse optimizer algorithm (MOA), and reviews its main characteristics and …

This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

Recommendation system (RS) is a technology that provides accurate recommendation for
users. In order to make the recommendation results more accurate and diverse, we …

The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is
proposed in 2015 to solve constraint optimization problems. This paper presents a …

Meta-heuristic algorithms are effective in solving complex optimization problems with
advantages of flexibility for coding, robustness and global optimization capability. An …

Several metaheuristic algorithms have been implemented to solve global optimization
issues. Nevertheless, these approaches require more enhancement to strike a suitable …

Neuroimaging refers to the techniques that provide efficient information about the neural
structure of the human brain, which is utilized for diagnosis, treatment, and scientific …