A new crossover operator in Differential Evolution for numerical optimization

The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence and enhances the efficiency of the optimization strategy, used for numerical data.