There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

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 …

This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …

The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …

A psychological disorder is a mutilation state of the body that intervenes the imperative
functioning of the mind or brain. In the last few years, the number of psychological disorders …

In recent years, Alzheimer's disease (AD) has been a serious threat to human health.
Researchers and clinicians alike encounter a significant obstacle when trying to accurately …

In this work, an enhanced moth flame optimization (MFO) algorithm is proposed as a search
strategy within a wrapper feature selection (FS) framework. It aims mainly to improve the …

This paper proposes an effective wrapper approach by integrating the Levy flight and
evolutionary selection operators into the Moth Flame Optimization (MFO) algorithm. The …

A direct numerical method for optimal feedback control design of general nonlinear systems
is presented in this chapter. The problem is generally infinite dimensional. In order to convert …

COVID-19 has spread rapidly across the world, leading to the insufficiency of medical
resources in many regions. Early detection and identification of high-risk COVID-19 patients …