Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …

Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

This article's innovation and novelty are introducing a new metaheuristic method called
mother optimization algorithm (MOA) that mimics the human interaction between a mother …

Optimization plays a key role in various disciplines of science in order to achieve the optimal
solution among all available solutions. Innovation and contribution of this paper is in …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

Population-based optimization algorithms are one of the most widely used and popular
methods in solving optimization problems. In this paper, a new population-based …

Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths
toward the light source is an effective approach to solve global optimization problems …

Nature-inspired metaheuristic algorithms have gained great attention over the last decade
due to their potential for finding optimal solutions to different optimization problems. In this …

Finding a suitable solution to an optimization problem designed in science is a major
challenge. Therefore, these must be addressed utilizing proper approaches. Based on a …

Metaheuristic optimization algorithms play an essential role in optimizing problems. In this
article, a new metaheuristic approach called the drawer algorithm (DA) is developed to …