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 …

In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …

This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during
their stunning murmuration named starling murmuration optimizer (SMO) to solve complex …

The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …

Electrical power system abnormalities may have several negative consequences on its
stable operation. As a result, preserving its stability under such operational states has …

Feature selection (FS) methods play essential roles in different machine learning
applications. Several FS methods have been developed; however, those FS methods that …

Simple Summary Early diagnosis of skin cancer is vital for providing effective treatment for
patients. Dermoscopy is a non-invasive approach that utilizes specific equipment to examine …

This paper introduces a multi-objective variant of the marine predators algorithm (MPA)
called the multi-objective improved marine predators algorithm (MOIMPA), which …

Vibration-based structural damage detection methods using optimization techniques have
increased extensively in recent decades due to the rapid development of swarm intelligence …

Multi-section continuum robots'(CRs) behavior is still an outstanding problem because of the
highly non-linearity of its equation of motions. To this end, in this paper, particle swarm …