机构地区: 安徽财经大学管理科学与工程学院
出 处: 《计算机工程与应用》 2009年第28期35-38,共4页
摘 要: 为提高建模精度,将禁忌搜索引入到基因表达式编程的遗传操作中,改善基因表达式编程的局部搜索能力,提出了并行禁忌基因表达式编程算法PTS-GEP(Gene Expression Programming Based on Parallel Tabu Search)。通过两组实验比较算法的性能,实验结果表明,PTS-GEP挖掘出的模型精度优于GEP、UC-GEP算法。 To improve model accuracy,PTS-GEP (Gene Expression Programming Based on Parallel Tabu Search) is proposed.In PTS-GEP,tabu search is introduced to improve GEP’s local search ability.The research conducts two experiments over the data from previously reported research and compares the results to two other algorithms namely simple GEP,UC-GEP.The results demonstrate the optimal performance of PTS-GEP in model accuracy.
领 域: [自动化与计算机技术] [自动化与计算机技术]