When the local competition based selection is adopted in the genetic algorithm

the algorithm is difficult to escape from the local optimum.In this paper

a selection operator based on the difference among individuals is proposed.Competition occurs within an area defined by the difference

which helps to maintain the population's diversity and enhance the ability to escape from the local optimum.The experiments show that

the genetic algorithm adopting the improved selection operator can effectively ensure the success and effectiveness of the optimization

even when there is severe vibration around the global optimum.