An Mutational Multi-Verse Optimizer With Levy Flight

This paper proposes a mutational Multi-Verse Optimizer (MVO) algorithm based on Levy flight and called LMVO algorithm. The random steps of Levy flight enhances the ability of the search individual to escape the local optimum, and promotes the balance of exploration and exploitation for MVO algorithm. For investigate the availability of LMVO, add basic MVO algorithm and other four mainstream algorithms to compare with it on six high dimensional test functions and two fixed-dimensional test functions. Furthermore, apply it to cantilever beam design problem. These final results proved that LMVO has good convergence accuracy and stability.