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双种群进化策略解奇异非线性方程组
引用本文:郭德龙,夏慧明,周永权. 双种群进化策略解奇异非线性方程组[J]. 广西科学院学报, 2011, 27(4): 303-305,310
作者姓名:郭德龙  夏慧明  周永权
作者单位:黔南民族师范学院数学系;南京师范大学泰州学院数学系;广西民族大学数学与计算机科学学院
基金项目:国家民委科研基金项目(08GX01);广西自然科学基金项目(0832082);贵州省教育厅科研项目(黔教科2010093);黔南民族师范学院院级科研项目(QNSY0905)资助
摘    要:鉴于传统优化算法在求解奇异非线性方程组中存在受初值选取是否合适的影响、收敛速度慢且容易陷入局部最优解等缺点,提出一种改进双种群进化策略求解奇异非线性方程组算法.首先把奇异非线性方程组转化为无约束优化问题,再求解无约束优化.该算法克服了传统算法不足,避免了大量的求导计算,算法收敛速度快、求解精度高、稳定性强.

关 键 词:非线性方程组  进化策略  双突变
收稿时间:2011-09-14

Solving Singular Nolinear Groups Based on Bi-group Evolution Strategies
GUO De-long,XIA Hui-ming and ZHOU Yong-quan. Solving Singular Nolinear Groups Based on Bi-group Evolution Strategies[J]. Journal of Guangxi Academy of Sciences, 2011, 27(4): 303-305,310
Authors:GUO De-long  XIA Hui-ming  ZHOU Yong-quan
Affiliation:1.Department of Maths Qiannan Normal University for Nationalities,Duyun,Guizhou,558000,China; 2.Department of Maths Taizhou College of Nanjing Normal University,Taizhou,Jiangsu,225300,China;3.College of Maths and Computer Science Guangxi University for Nationalities,Nanning,Guangxi,530006,China)
Abstract:There are several problems in traditional optimization algorithm in solving singular nonlinear equations such as the effect of the appropriate selection of initial value,slow convergence and easily falling into local optimal solution.In this paper,an improved Bi-group evolution strategies is proposed to solve the singular nonlinear equations.The algorithm singular nonlinear equations for unconstrained optimization problems are used to solve unconstrained optimization.The simulation results indicates that the algorithm overcome the problems of traditional algorithm,is insufficient to avoid a large number of derivative calculation,and is fast convergence,high accuracy and high stability.
Keywords:nonlinear equations  evolution strategies  double mutant
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