改进和声搜索算法及其在连续函数优化中的应用  

Continuous function optimization based on improved harmony search algorithm

作　　者：路静[1,2] 顾军华[2] 

机构地区：[1]河北工业大学电气工程学院,天津300401 [2]河北工业大学计算机科学与软件学院,天津300401

出　　处：《计算机应用》2014年第1期194-198,共5页journal of Computer Applications

基　　金：天津市应用基础与前沿技术研究计划项目(11JCZDJC15700)

摘　　要：针对一般和声搜索(HS)算法在求解连续函数优化问题时存在的困难,提出一种改进的多样化和声搜索(IDHS)算法。该算法借鉴模拟退火算法的思想对参数的更新方式作出调整,并且限制保存在和声记忆矩阵中的一致和声的数量以增加解的多样性。数值仿真结果表明,与其他几种传统的和声搜索算法相比,该方法进一步提高了计算精度和收敛速度,以及全局寻优能力。Concerning the difficulties in solving the continuous functions of general Harmony Search （HS） algorithm, an improved HS algorithm was proposed. With analogies to the concept of the simulated annealing algorithm, the way of updating parameter was redesigned. And it limited the number of identical harmonies stored in the harmony memory to increase the diversity of solutions. Simulation results of the proposed algorithm were compared with other HS approaches. The computational results reveal that the proposed algorithm is more effective in enhancing the solution quality and convergence speed than other HS approaches.

关 键 词：和声搜索算法 元启发式算法 连续函数优化 基函数 遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]