由于基本和声搜索算法存在不足,本文提出一种自适应改进和声模式搜索算法(AIHPS).在新算法中加入变异策略对和声微调进行改进,来增强算法的鲁棒性;适时执行模式搜索来增加和声搜索的方向性,来加快搜索;利用自适应参数HMCR、PAR和BW调节全局和局部搜索.利用6个标准的优化算法测试函数对AIHPS算法进行测试,并与HS、IHS和GHS等多个算法进行实验对比,实验结果表明新算法具有跳出局部最优和较强的精确寻优能力. Due to the lack of basic harmony search algorithm, an adaptive improved harmony pattern search algorithm (AIHPS) is proposed in this paper, which is improved by adding mutation strategy to the new algorithm to enhance the robustness of the algorithm. The timely execution mode Search to increase the directionality of the harmony search to speed up the search.Adjust global and local search using adaptive parameters HMCR, PAR and BW.The six standard optimization algorithm test functions are used to test AIHPS algorithm, and with HS, IHS and GHS and other algorithms for experimental comparison, the experimental results show that the new algorithm has the ability to jump out of the local optimal and strong precision optimization.