A comparison of fitting growth models with a genetic algorithm and nonlinear regression

Poultry Science

Volumn 84, Issue 3, 2005, Pages 494-502

  Roush, W B ^a   Branton, S L ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Broiler; Genetic algorithm; Growth equation; Mathematical model; Regression analysis

Indexed keywords

EID: 14844328690     PISSN: 00325791     EISSN: None     Source Type: Journal    
DOI: 10.1093/ps/84.3.494     Document Type: Article

References (11)

1. Aggrey, S. E. 2002. Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult. Sci. 81:1782-1788.
2. Banzhaf, W., P. Nordin, R. E. Keller, and F. D. Fancone. 1998. Genetic Programming - An Introduction, Morgan Kaufmann Publishers, Inc., San Francisco.
3. Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Inc., New York.
4. Haupt, R. L., and S. E. Haupt. 1998. Practical Genetic Algorithms. John Wiley and Sons, Inc., New York.
5. Maruyama, K., W. J. E. Potts, W. L. Bacon, and K. E. Nestor. 1998. Modeling turkey growth with the relative growth rate. Growth Dev. Aging 62:123-139.
6. Marquardt, D. W. 1963. An algorithm for least-squares estimation of nonlinear parameters. Journal for the Society of Industrial and Applied Mathematics J. SIAM Soc. 11:431-441.
7. Michalewicz, Z. 1992. Genetic Algorithms + Data Structures = Evolution Programs. 3rd rev. ed. Springer-Verlag, New York.
8. Rogers, S. R., G. M. Pesti, and H. L. Marks. 1987. Comparison of three nonlinear regression models for describing broiler growth curves. Growth 51:229-239.
9. SAS Institute Inc. 1999. SAS/STAT User's Guide Version 8. : SAS Institute Inc., Cary, NC.
10. Wilson, B. J. 1977. Growth curves: Their analysis and use. Pages 89-115 in Growth and Poultry Meat Production. K. N. Boorman and B. J. Wilson, ed. British Poultry Science Ltd. Edinburgh.
11. Ward Systems Group. 1995. GeneHunter Ward Systems Group, Inc. Frederick, MD.