中文说明：
粒子群优化最优路径算法，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。
English Description：
Similar to simulated annealing algorithm, particle swarm optimization (PSO) optimal path algorithm starts from random solution and finds the optimal solution through iteration. It also evaluates the quality of the solution through fitness, but it is simpler than genetic algorithm. It does not have the "crossover" and "mutation" operation of genetic algorithm, It finds the global optimum by following the current optimal value