A HYBRID GENETIC ALGORITHM FOR ESTIMATION OF PARAMETER OF NONLINEAR REGRESSION MODELINGS

Chen Jinshan; Wei Gang

Volume 23 Issue 8

Aug. 2001

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2001 > 23(8): 819-823

Chen Jinshan, Wei Gang . A HYBRID GENETIC ALGORITHM FOR ESTIMATION OF PARAMETER OF NONLINEAR REGRESSION MODELINGS[J]. Journal of Electronics & Information Technology, 2001, 23(8): 819-823.

Citation:

Chen Jinshan, Wei Gang . A HYBRID GENETIC ALGORITHM FOR ESTIMATION OF PARAMETER OF NONLINEAR REGRESSION MODELINGS[J]. Journal of Electronics & Information Technology, 2001, 23(8): 819-823.

Chen Jinshan, Wei Gang . A HYBRID GENETIC ALGORITHM FOR ESTIMATION OF PARAMETER OF NONLINEAR REGRESSION MODELINGS[J]. Journal of Electronics & Information Technology, 2001, 23(8): 819-823.

Citation:

Chen Jinshan, Wei Gang . A HYBRID GENETIC ALGORITHM FOR ESTIMATION OF PARAMETER OF NONLINEAR REGRESSION MODELINGS[J]. Journal of Electronics & Information Technology, 2001, 23(8): 819-823.

PDF( 902 KB)

A HYBRID GENETIC ALGORITHM FOR ESTIMATION OF PARAMETER OF NONLINEAR REGRESSION MODELINGS

Received Date: 1999-12-23
Rev Recd Date: 2000-04-08
Publish Date: 2001-08-19

Abstract

Abstract

A new hybrid genetic algorithm (HGA) that incorporates the flexible polyhedron method into the conventional genetic algorithm is proposed. The HGA speeds up convergence before the genetic algorithm reachs the global optima, and achieves better performance by performing global search and local search alternatively. The experiments for parameter estimation of nonlinear regression modelings show that the HGA has better generalization and effectiveness.

FullText(HTML)

References(1)

References

J.C. Nash, M. Walker-Smith, Nonlinear Parameter Estimation, Marcel Dekker Inc., New York,Basel,1987, chap.1-5.[2]方开泰,张金廷,非线性回归模型参数估计的一个新算法,应用数学学报,1993,16(3),366-377.[3]潘正君,康立山,陈毓屏,演化计算,北京,清华大学出版社,1998,1-63.[4]D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Reading,MA, Addison-Wesley Publishing Company, 1989, chap. 1-3.[5]贺前华,韦岗,陆以勤,基因算法研究进展,电子学报,1998,26(10),118-122.[6]J.M. Render, S. P. Flasse, Hybrid methods using genetic algorithms for global optimization,IEEE Trans. on System,Man, and Cybernetics (Part B). 1996, 26(2), 243-258.[7]R.I. Jennrich, Asymptotic properties of nonlinear least squares estimators. Ann. Math. Statist.,1969, 40(2), 633-643.[8]张青富,彭伟,吴少岩等,遗传算法+正交设计:一种新的全局优化算法,第4届中国人工智能联合学术会议论文集,北京,清华大学出版社,1996,127-133.[9]D.A. Ratkowky, Nonlinear Regression Modeling-A Unified Practical Approach, New York. Marcel Dekker Inc., 1983, Chap.2-4.

Relative Articles

Supplements(0)

Cited By

Proportional views