Traditional gradient-based optimization technique fails to find the global optima due to the non-convexity and non-linearity and many local optima of this kind of problem.

• 传统的基于梯度的搜索方法在处理这类问题时由于计算规模庞大且极易陷于局部最优解而不再适用，而遗传算法却为解决这类问题提供了很有希望的一个方向。