文献类型：期刊文献

英文题名：Study on straightness error evaluation of spatial lines based on a hybrid ant colony algorithm

作者：Zhang, Ke[1]; Kong, Xiangsheng[2]; Luo, Jianping[1]; Wang, Shengze[3]

第一作者：Zhang, Ke

通讯作者：Zhang, Ke

机构：[1] School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, China; [2] Department of Computer and Information Engineering, Xinxiang University, Xinxiang City, Henan Province, China; [3] College of Mechanical Engineering, Donghua University, Shanghai, China

第一机构：School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, China

年份：2015

卷号：8

期号：3

起止页码：277-284

外文期刊名：International Journal of Wireless and Mobile Computing

收录：EI(收录号：20152100880583);Scopus(收录号：2-s2.0-84929612799)

语种：英文

外文关键词：Errors - Genetic algorithms - Least squares approximations - Petroleum reservoir evaluation

摘要：Based on the analysis of existing evaluation methods for straightness errors, an intelligent evaluation method for spatial straightness errors is provided in this paper. The evolutional optimum model and the calculation process are introduced in detail. According to characteristics of straightness error for spatial lines evaluation, an improved Ant Colony Optimisation (ACO) algorithm is proposed to evaluate the minimum zone error. Compared with conventional optimum evaluation methods such as Simplex search and Powell method, it can find the global optimal solution and the precision of calculating result is very high. Then, the objective function calculation approaches for using the ACO to evaluate minimum zone error are formulated. Finally, the control experiment results evaluated by different optimal methods such as the Least Square, Simplex search, Powell search and Genetic Algorithm, indicate that the proposed method does provide better accuracy on spatial straightness error evaluation and it has fast convergent speed as well as using computer. Copyright ? 2015 Inderscience Enterprises Ltd.