An Improved Adaptive Parameters Harmony Search Algorithm

PENG Hong; WANG Zhao-xin

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An Improved Adaptive Parameters Harmony Search Algorithm

更新时间：2026-09-04

- An Improved Adaptive Parameters Harmony Search Algorithm
- Vol. 33, Issue 12, Pages: 38-41(2016)
- 作者机构：
  
  辽宁工程技术大学机构电气与控制工程学院,辽宁,葫芦岛,125105
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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彭泓, 王兆鑫. 一种改进自适应参数的和声搜索算法[J]. 微电子学与计算机, 2016, 33(12): 38-41, 46.

PENG Hong, WANG Zhao-xin. An Improved Adaptive Parameters Harmony Search Algorithm[J]. 2016, 33(12): 38-41.
彭泓, 王兆鑫. 一种改进自适应参数的和声搜索算法[J]. 微电子学与计算机, 2016, 33(12): 38-41, 46. DOI：

PENG Hong, WANG Zhao-xin. An Improved Adaptive Parameters Harmony Search Algorithm[J]. 2016, 33(12): 38-41. DOI：

摘要

针对现有和声搜索算法(HS)的提前收敛、收敛速度缓慢、参数选择不佳和容易陷入局部最优等缺点

本文提出一种自适应和声搜索算法参数的改进方法(DCNHS)

在算法中加入新的动态方法并且引入带有自适应参数的柯西、正态分布随机数来实现改进算法参数的自适应.通过与目前性能较为突出的几种改进的HS算法、PSO算法、GA算法相比较

本文提出的改进算法(DCNHS)在若干标准优化算法测试函数仿真中

寻优更加精确

收敛更加迅速

并具有较强的跳出局部最优的能力.

Abstract

The existing harmony search algorithm (HS) in advance convergence

slow convergence

parameter selection is poor and easy to fall into local optimum

we propose an adaptive harmony search algorithm parameters improved method (DCNHS)

the algorithm the new method was added and the introduction of dynamic Cauchy

normally distributed random number with adaptive parameters to achieve improved adaptive algorithm parameters. With the current performance of the more prominent of several improved HS algorithm

PSO algorithm

GA algorithm compares the improved algorithm proposed (DCNHS) in a number of standard test functions optimization algorithm simulation optimization is more accurate

more rapid convergence

and has strong ability to escape from local optima.

关键词

Keywords

references

Chen J, Pan Q, Li J. Harmony search algorithm with dynamic control parameters[J]. Applied Mathematics and Computation, 2012, 219(2): 592-604. DOI: 592

Valian E, Tavakoli S, Mohanna S. An intelligent global harmony serach approach to continuous optimization problems[J]. Applied Mathematics and Computation, 2014, 232(3): 670-684. DOI: 670

Zou D, Gao L, Li S, et al. An effective global harmony search algorithm for reliability problems[J]. Expert Systems with Applications, 2011, 38(4): 4642-4648. DOI: 4642

Geem Z W, Kim J H, Loganathan G V. A new heuristic optimization algorithm: harmony search[J]. Simulation, 2001, 76(2): 60-68. DOI: 60

Wu B, Qian C, Ni W, et al. Hybrid harmony search and artificial bee colony algorithm for global optimization problems[J]. Computers % Mathematics with Applications, 2012, 64(8): 2621-2634. DOI: 2621

Mahamed G H Omran, Mahamed Mahdavi. Global-best harmony search[J]. Applied Mathematic and computation, 2008, 198(2): 643-656. DOI: 643

翟军昌, 高立群, 欧阳海滨, 等. 一种自适应全局和声搜索算法[J]. 控制与决策, 2015, 30(11): 1503-1509. DOI: 1503

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