求翻译：传统的CMA是先构造一个代价函数，并利用这个代价函数对均衡器权向量求梯度，从而确定均衡器权值的迭代方程，但这种方法本质上是一种只考虑局部区域的梯度下降搜索法[11]，缺乏全局搜索能力，同时构造的代价函数还需满足可导。而蚂蚁算法(ant algorithm，AA)是一种源于生物世界的新的仿生型优化算法，最早是在1992年由M.Dorigo博士提出来的。是什么意思？

Traditional cma is to construct a cost function, and take advantage of this cost function and gradient iterative equation to determine the weights of the equalizer weight vector of the equalizer, but the essence of this method is gradient descent consider only the local area search method [11], the

It is the first traditional CMA construct a Cost function, and take advantage of this cost function is to balance the right to demand volume, gradient equalizer to determine the right value iteration equation, but this approach is basically a Local Area takes into account only the lower gradient sea

Traditional CMA is first a structure price function, and

Traditional CMA is to first construct a cost function, and take advantage of the cost function Equalizer right seeking gradient vector, iterative equations to determine the balance weight, but this is essentially a local regional gradient descent search algorithm [11], lack of global search capabili