摘要
为了改善入侵杂草优化算法解的质量,提出一种带局部搜索功能的入侵杂草优化算法。该算法按照一定概率对每代产生的最优个体执行球体局部搜索算子或Logistic映射搜索算子,在最优个体周围进行精细搜索,并用搜索到的较优个体代替最优个体,提高了算法的局部搜索能力和优化精度。并对7个测试函数进行了仿真实验,结果表明:该算法具有较高的优化性能。
In order to improve the solving quality of invasive weed optimization （IWO） algorithm, an IWO algorithm with local search function（LSIWO） is proposed. In the algorithm, the best individual generated in each generation is processed with certain probability by operators of spherical local search or Logistic mapping search, which realizes fine-grained search around the best individual, meanwhile, the best individual will be updated by the newly generated better one. Simulation experimental results of seven tests functions show that the new algorithm has better optimal performance.
出处
《传感器与微系统》
CSCD
北大核心
2014年第9期110-113,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61063028)
甘肃省教育信息化发展战略研究项目(2011-2)
关键词
入侵杂草优化算法
球体局部搜索
LOGISTIC映射
柯西分布
精细搜索
invasive weed optimization （ IWO ） algorithm
spherical local search
Logistic mapping
Cauchydistribution
fine-grained search
