Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …

Abstract Moth-Flame Optimization (MFO) algorithm is a new population-based meta-
heuristic algorithm for solving global optimization problems. Flames generation and spiral …

Moth flame optimization (MFO) is a recent nature-inspired algorithm, motivated from the
transverse orientation of moths in nature. The transverse orientation is a special kind of …

As a typical emergent swarm intelligence algorithm, Moth-Flame Optimization (MFO) has
been created to deal with global optimization problems. Since the introduction, it has been …

Moth flame optimization (MFO) algorithm proves to be an excellent choice for numerical
optimization. However, for some complex objectives, MFO may get trapped in local optima or …

Abstract Moth–Flame Optimization (MFO) algorithm is widely used to solve real parameter
global optimization problems. However, the original MFO algorithm has some problems …

Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …

The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …

In this work, an improved moth-flame optimization algorithm is proposed to alleviate the
problems of premature convergence and convergence to local minima. From the perspective …

This paper presents two levels of enhancing the basic Moth flame optimization (MFO)
algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing (HC) …