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双种群进化策略解奇异非线性方程组 被引量:2

Solving Singular Nolinear Groups Based on Bi-group Evolution Strategies
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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. 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.
出处 《广西科学院学报》 2011年第4期303-305,310,共4页 Journal of Guangxi Academy of Sciences
基金 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
关键词 非线性方程组 进化策略 双突变 nonlinear equations evolution strategies double mutant
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  • 1Yao X,Liu Y..A new evolutionary system for evolving artificial neural networks.IEEE Transactions on Neural Networks,1997,8(3):694~713
  • 2Sebald A.V,Schlenzig J..Minimax design of neural net controllers for highly uncertain plants.IEEE Transactions on Neural Networks,1994,5(1):73~82
  • 3Bornholdt S,Graundenz D..General asymmetric neural networks and structure design by genetic algorithms.IEEE Transactions on Neural Networks,1992,5(5):327~334
  • 4Fogel D.B..Applying evolutionary programming to selected traveling salesman problem.Cybernetics and System,1993,24(1):27~36
  • 5Yao X,Liu Y,Lin G..Evolutionary programming made faster.IEEE Transactions on Evolutionary Computation,1999,3(2):82~102
  • 6Lee C,Yao X..Evolutionary programming using mutations based on Lévy probability distribution.IEEE Transactions on Evolutionary Computation,2004,8(1):1~13
  • 7Tongchim S,Yao X..Parallel evolutionary programming.In:Proceeding of the 2004 IEEE International Conference on Evolutionary Computation,2005,1:1362~1367
  • 8王兴华,韩丹夫.关于非线性方程和方程组数值解法的若干进展[J].高等学校计算数学学报,1989,11(1):85-96. 被引量:3
  • 9黄志坚.解非线性方程组的修正ABS方法[J].高等学校计算数学学报,1991,13(1):60-71. 被引量:3
  • 10郭崇慧,唐焕文.一种改进的进化规划算法及其收敛性[J].高等学校计算数学学报,2002,24(1):51-56. 被引量:28

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