Immunity Genetic Algorithm Based on Elitist Strategy and its Application to the TSP Problem

In order to improve searching efficiency and prevent premature in the standard GA, a new immune genetic algorithm is proposed and designed based on elitist strategy of its complete convergence and immune memory mechanism in the immune system. Through comparing the solutions of TSP problem with between the standard GA and IMGA, then complete convergence and good computation complicacy of the IMGA is analyzed to prove much better than the standard GA. The excellent availability on searching efficiency has some practical significance.