A HYBRID COMPUTATIONAL-INTELLIGENT ALGORITHM FOR THE NONLINEAR LEAST-SQUARES GLOBAL SOLUTION
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    Abstract:

    Through embedding a Newtonian operator into the genetic algorithm and defining a proper fitness and a numerical structure,a hybrid computational-intelligent algorithm for the global solution of the nonlinear least-squares problem,combined the advances of both of the genetic algorithm and the Newtonian algorithm,is got with the faster convergence and the greater probability for the global solution.The numerical results show that the method is distinctly superior to the genetic algorithm and the NeWtonian algorithm.

    Reference
    1 Dannis J E,Schnabel R B.Numerical method for unconstrained optimization and nonlinear equations.Prentice. Hall,Englewood Cliffs,N.J.,1983. 2 Dannis J E,Gay D M,Welsch R E.An adaptive nonlinear least-squares algorithm.TOMS,1981,7:348~368 3 韩乔明,盛松柏.解非线性最小二乘问题的锥模型算法的局部收敛性.高等学校计算数学学报,1996,18(1):77~ 86. 4 Goldberg D E.Genetic algorithms in search,optimization,and machine reading.MA:Addison-Wesley,1989. 5 姚新,陈国良,徐惠敏等.进化算法研究进展.计算机学报,1995,18(9):694~706. 6 席少霖,赵风治.最优化计算方法.上海:上海科学技术出版社,1983. 7 Wolfe M A.Numerical methods for unconstrained optimization.VNR.1978.
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赵明旺.非线性最小二乘全局解的混合计算智能算法.软件学报,1997,8(7):555-560

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  • Revised:August 26,1996
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