计算机工程2012，Vol.38Issue(10)：157-160,4.DOI:10.3969/j.issn.1000-3428.2012.10.048
求解函数优化问题的反向自适应和声搜索算法
Opposition Self-adaptive Harmony Search Algorithm for Solving Function Optimization Problem
摘要
Abstract
Two novel Opposition Self-adaptive Harmony Search(OSHS) algorithms are proposed to solve multi-dimensional function optimization problems. OSHS is based on Self-adaptive Harmony Search(SHS) algorithm. In order to enhance the quality of the initialized harmony memory, the opposition initialization is introduced in OSHS. An opposition self-adaptive mechanism is designed to enhance the exploration of OSHS. Two different ways are designed for setting the parameter. Meanwhile, the two ways' impact on the convergence speed of OSHS is discussed. The simulation results for four benchmarks show that compared with the traditional search algorithms, the two new algorithms performe better in solution quality and convergence rate.关键词
多维函数优化/和声搜索算法/进化计算/连续优化/反向学习/自适应Key words
multi-dimensional function optimization/harmony search algorithm/evolutionary computation/continual optimization/opposition learning/self-adaptive分类
信息技术与安全科学引用本文复制引用
何宗耀,郝伟..求解函数优化问题的反向自适应和声搜索算法[J].计算机工程,2012,38(10):157-160,4.基金项目
河南省2011年科技发展计划基金资助重点项目(112102210368) （112102210368）
