… algorithm In this section, the proposed opposition-based Lévy flight moth flame optimization
algorithm (… The performance of any metaheuristic algorithm while solving any constrained or …

… application of Levy Flight to enhance metaheuristic optimization algorithms. Levy Flight is a
… distributions, often employed in optimization algorithms for exploring complex search spaces …

… Algorithm with Levy Flights (ILFMVO) algorithm. The quality of the population is an important
factor that can directly or indirectly affect the strength of an algorithm … the Levy flights based …

… Grid points that are in the holes are treated by excluding them from the solution process and
… edges of the holes. The calculations to determine the holes and hole boundaries require a …

… algorithm (FSA) has appreciable exploration capability but it has the problem of slow convergence
rate. So, Lévy flight … and black holes, while intensification is carried out by warm holes. …

… process responses using improved multiobjective grey wolf optimization algorithm (MOGWO).
In the present research, Levy flight algorithm has been used to improve the efficiency of …

Full article: Estimation of surface-based duct parameters from automatic identification system
using the Levy flight quantum-behaved particle swarm optimization algorithm Skip to Main …

… examples of Lévy flight concept to different metaheuristic algorithms. Some of the recently
reported ones can be listed as firefly algorithm [39] for color image thresholding, black hole …

… An enhanced version of Black Hole algorithm via Levy Flight for optimization and data clustering
… Lévy flight trajectory-based whale optimization algorithm for engineering optimization. …

… This paper proposes an improved mechanism to machine learning imputation algorithms
by introducing the Particle Swarm Levy Flight algorithm. We improve the algorithms by …