经典算法研究系列:七、深入浅出遗传算法 - 结构之法 算法之道 - 博客频道 - CSDN.NET



经典算法研究系列:七、深入浅出遗传算法 - 结构之法 算法之道 - 博客频道 - CSDN.NET

Ok,先看维基百科对遗传算法所给的解释:

遗传算法是计算数学中用于解决最优化的搜索算法,是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择以及杂交等。

 

遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题,一定数量的候选解(称为个体)的抽象表示(称为染色体)的种群向更好的解进化。传统上,解用二进制表示(即01的串),但也可以用其他表示方法。进化从完全随机个体的种群开始,之后一代一代发生。在每一代中,整个种群的适应度被评价,从当前种群中随机地选择多个个体(基于它们的适应度),通过自然选择和突变产生新的生命种群,该种群在算法的下一次迭代中成为当前种群。


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