纺织高校基础科学学报Issue(3)：378-382,387,6.
一种固定结构多种群GEP算法
A fixed structure and multi-population GEP algorithm
摘要
Abstract
A fixed structure and multi-population GEP algorithm (FSMGEP) was proposed based on the tradition-al gene expression programming (GEP) theory .The linear string structure with fixed length was used in the de-scription of the individual ,which decreased the computation complexity .The collaborative evolutionary thought of multi-population was introduced in the FSMGEP to improve the diversity of the individuals .And the hill-climbing algorithm was utilized to optimize the parameters ,which improved the accuracy and efficiency of the FSMGEP .The application in the prediction of speech signals showed that the FSMGEP has better convergence speed and precision than the traditional GEP .关键词
GEP/人工智能/遗传算法/遗传规划Key words
GEP/artificial intelligence/genetic algorithm/genetic programming分类
信息技术与安全科学引用本文复制引用
杨战中,良梓,吴晓军..一种固定结构多种群GEP算法[J].纺织高校基础科学学报,2013,(3):378-382,387,6.基金项目
国家自然科学基金资助项目（11172342）；教育部“新世纪优秀人才支持计划”资助项目（NCET-11-0674）；中央高校基本科研业务费专项资金资助项目 （）
