First, the relevant problems with GA are studied, a float-coded genetic algorithm (FGA) is designed, it has advantages of fast convergence, high accuracy to find the best solution and ease for implementation.

• 首先对遗传算法的相关问题进行了研究,给出了一种收敛速度快、寻优精度高、实现方便的浮点数编码遗传算法(FGA),通过对几个著名的遗传算法测试函数进行寻优,验证了其有效性,说明在实值函数寻优问题上,FGA优于二进制编码遗传算法,并基于有限Markov链证明了所设计的FGA的收敛性。