说明：  组合优化问题的人工鱼群算法应用 通过模仿鱼类的行为方式,提出了一种基于动物自治体的优化方法—人工鱼群算法(Artificial Fish- school Al2 gorithm) ,并将其用于组合优化问题的求解. 介绍了该算法在此类问题求解中的距离、邻域等概念,给出了具体的实 现方法. 最后以TSP 问题为例对该算法进行仿真测试. 结果表明它具有快速收敛的能力.
(Combinatorial optimization problems through the application of artificial fish-swarm algorithm to imitate the behavior of fish, an animal-based self-governing body of the optimization method- artificial fish-swarm algorithm (Artificial Fish-school Al2gorithm), and their use for solving combinatorial optimization problems . Introduction of the algorithm for solving such problems in the distance, the concept of neighborhood is given a specific method. Finally to TSP as an example of the algorithm simulation tests. The results show that it has the ability to fast convergence.)