@inproceedings{64d725e871a84558a166f3ced11e6cfd,
title = "A hybrid approach to modeling metabolic systems using genetic algorithm and simplex method",
abstract = "The Genetic Algorithm is applied to the parameter estimation problem to optimize a model of the glucose cycle of an E. coli cell. Since the evaleration of the model is computationally expensive, a hybrid algorithm is proposed which grafts a proposed variant of Nelder and Mead's downhill simplez-called Concurrent Simplex-with the Genetic Algorithm by using the simplez as an additional operator. The addition of the operator speeds up the rate of convergence of the Genetic Algorithm in some cases. The advantages and disadvantages of the simplez hybrid are discussed and the hybrid is tested against several diferent problem sets to verify its improvement over the generic genetic algorithm.",
author = "John Yen and David Randolph and Liao, {James C.} and Bogju Lee",
year = "1995",
month = jan,
day = "1",
doi = "10.1109/CAIA.1995.378811",
language = "English (US)",
series = "Proceedings the 11th Conference on Artificial Intelligence for Applications, CAIA 1995",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "277--283",
booktitle = "Proceedings the 11th Conference on Artificial Intelligence for Applications, CAIA 1995",
address = "United States",
note = "11th Conference on Artificial Intelligence for Applications, CAIA 1995 ; Conference date: 20-02-1995 Through 23-02-1995",
}