用神经网络和遗传算法解决tsp问题，先使用神经网络训练出较优个体，然后再进化，可以反其道而行，-using neural networks and genetic algorithms to solve the problem tsp first use of neural network training of better individual, then evolution can be just the opposite.

关于电力系统无功优化方面的论文，该论文使用改进的进化算法并结合动态的突变标准。

进化算法和博弈论结合的追逃游戏问题，提高抓捕率，找到最优解-Evolutionary algorithms Pursuit games and game theory problems combine to improve the arrest rate, to find the optimal solution