Improved Genetic Algorithm for Traveling Salesman Problem
一种求解旅行商问题的改进遗传算法

Premature convergence usually appears in basic genetic algorithm. So, new crossover and mutation operators are designed. Greedy strategy is introduced in construction of genetic operator. Diversity of population becomes Rich because of introduction of new operators. New algorithm improves the ability of global search. The simulation indicates that the improved genetic algorithm can jump out of local optimum in a short time, and continue seeking the optimum.