Based on GA Mixed with Trust Region Method Solving Nonlinear Least Square Problems

Abstract:

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Nonlinear least square is one of the unconstrained optimization problems. In order to solve the least square trust region sub-problem, a genetic algorithm (GA) of global convergence was applied, and the premature convergence of genetic algorithms was also overcome through optimizing the search range of GA with trust region method (TRM), and the convergence rate of genetic algorithm was increased by the randomness of the genetic search. Finally, an example of banana function was established to verify the GA, and the results show the practicability and precision of this algorithm.

Info:

Periodical:

Edited by:

Hun Guo, Taiyong Wang, Zeyu Weng, Weidong Jin, Shaoze Yan, Xuda Qin, Guofeng Wang, Qingjian Liu and Zijing Wang

Pages:

92-97

DOI:

10.4028/www.scientific.net/AMM.141.92

Citation:

M. Hu et al., "Based on GA Mixed with Trust Region Method Solving Nonlinear Least Square Problems", Applied Mechanics and Materials, Vol. 141, pp. 92-97, 2012

Online since:

November 2011

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$35.00

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