福州大学学报（自然科学版）2017，Vol.45Issue(4)：559-565,7.DOI:10.7631/issn.1000-2243.2017.04.0559
求解边坡最小安全系数的混合文化基因算法
A hybrid memetic algorithm for optimizing the soil slope safety factor
摘要
Abstract
Based on the Sweden arc method,a hybrid memetic algorithm is proposed to minimize the factor of safety in slopes.The hybrid memetic algorithm uses an effective genetic search method to explore the search space and an efficient simulated annealing local search method to exploit information in the search region,which can make better trade-off between global exploration and local exploitation.Experimental results on classic slope cases show that the proposed method is effective and efficient.关键词
最小安全系数/边坡稳定分析/瑞典圆弧法/文化基因算法/模拟退火算法Key words
least safety factor/slope stability analysis/Sweden arc method/memetic algorithm/simulated annealing algorithm分类
信息技术与安全科学引用本文复制引用
许晶,陈建利..求解边坡最小安全系数的混合文化基因算法[J].福州大学学报（自然科学版）,2017,45(4):559-565,7.基金项目
国家自然科学基金资助项目(11501115) （11501115）
福建省自然科学基金资助项目(2014J01228) （2014J01228）
