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针对基本和声搜索算法的不足,提出一种改进的和声搜索算法.首先在和声搜索算法的记忆库中加入权重,减少搜索的随机性;其次让扰动方程中的带宽具有自适应性,从而提高原算法的鲁棒性和收敛速度.算法在计算机上予以实现,并通过一系列测试函数求解,验证了改进算法与基本和声搜索算法及其他智能算法相比,能得到更多的最优解和较小的方差.
In order to overcome the shortage of basic harmony search algorithm, an improved harmony search algorithm is proposed. Firstly, weight is added to the memory of harmony search algorithm to reduce the randomness of search. Secondly, the bandwidth in the disturbance equation is adaptive, So as to improve the robustness and convergence speed of the original algorithm.The algorithm is implemented on a computer and solved by a series of test functions to verify that the improved algorithm can get more and more advantages than the basic harmonic search algorithm and other intelligent algorithms Excellent solution and smaller variance.