Differential Evolution (DE) is an evolutionary approach to unravel complex optimization problems. The DE is a straight forward and very popular population based stochastic Algorithm. DE outperformed other competitive evolutionary algorithms when measured over benchmark problem as well as actual optimization problems in terms of performance. The major drawback of DE is early convergence and stagnation at sub-optimal points, like other stochastic optimization algorithms. So as to overcome these problems this paper presents hybrid of DE with levy flight search strategy. The anticipated algorithm tested over a set of benchmark problems to demonstrate its superiority over other popular modification of DE.