This study develops an improved moth-flame optimization algorithm, which is a recently
proposed optimizer based on moth behavior in nature. It has achieved favorable results in …

Abstract Moth–Flame Optimization (MFO) algorithm, which is inspired by the navigation
method of moths, is a nature-inspired optimization algorithm. The MFO is easy to implement …

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 …

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 …

Moth-flame optimization (MFO) is a novel metaheuristic algorithm inspired by the
characteristics of a moth's navigation method in nature called transverse orientation. Like …

Abstract The Moth Flame Optimization (MFO) algorithm shows decent performance results
compared to other meta-heuristic algorithms for tackling non-linear constrained global …

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

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 …

In this paper, an improved moth-flame optimization algorithm (IMFO) is presented to solve
engineering problems. Two novel effective strategies composed of Lévy flight and …