计算机工程与应用2012，Vol.48Issue(4)：37-39,3.DOI:10.3778/j.issn.1002-8331.2012.04.010
混沌粒子群算法自动拟合理论变差函数
Chaos particle swarm optimization algorithm to match theoretical variogramautomatically
摘要
Abstract
Matching the parameter of theoretical model of variogram is one of the specific basic content in geostatistics. Aiming at the disadvantages of conventional used methods in match theoretical variogram, in order to match theoretical variogram automatically, based on the quick convergence of Chaos Particle Swarm Optimization (CPSO) algorithm used in solving nonlinear programming problems, and ergodicity, global optimization of chaos, a new match method of theoretical variogram is performed. Spherical model, which is transformed into minimum problem, is used in the experiment. CPSO is used to find the satisfactory fitness value. Simulations show that the new algorithm has powerful optimizing ability, higher precision, and can automatically match the theoretical variogram effectively.关键词
地质统计学/粒子群优化算法/变差函数/球状模型/拟合Key words
geostatistics/ Particle Swarm Optimization(PSO) algorithm/ theoretical variogram/ spherical model/ fitting分类
信息技术与安全科学引用本文复制引用
陈学工,陈婷,肖晓芳..混沌粒子群算法自动拟合理论变差函数[J].计算机工程与应用,2012,48(4):37-39,3.基金项目
国家高技术研究发展计划(863)(No.2006AA062114) （863）
中南大学2010年硕士研究生学位论文创新项目(No.2010ssxt030). （No.2010ssxt030）
