A hybrid genetic algorithm for the estimation of kinetic parameters

Chemometrics and Intelligent Laboratory Systems - Tập 19 - Trang 319-329 - 1993
D.Brynn Hibbert1
1Department of Analytical Chemistry, University of New South Wales, P.O. Box 1, Kensington, New South Wales 2033 Australia

Tài liệu tham khảo

Hibbert, 1993, Genetic algorithms in chemistry, Chemometrics and Intelligent Laboratory Systems, 19, 277, 10.1016/0169-7439(93)80028-G Lucasius, 1991, Genetic algorithms for large-scale optimization in chemometrics: an application, Trends in Analytical Chemistry, 10, 254, 10.1016/0165-9936(91)85132-B 1991 Lucasius, 1991, A genetic algorithm for conformational analysis of DNA, 251 Wu, 1991, Delayed-focus pulses for magnetic resonance imaging: an evolutionary approach, Magnetic Resonance in Medicine, 20, 165, 10.1002/mrm.1910200118 Cartwright, 1991, Looking around: using clues from the data space to guide genetic algorithm searches, 108 De Jong, 1975, An Analysis of the Behaviour of a Class of Genetic Adaptive Systems Hibbert, 1989, Mechanism of the hydrolysis of adenosine 5′-triphosphate; a statistical evaluation of kinetic data, Journal of Chemometrics, 3, 569, 10.1002/cem.1180030405 Hutchings, 1981, Mechanisms of hydrolysis of adenosine 5′-triphosphate, adenosine 5′-diphosphate and inorganic pyrophosphate in aqueous perchloric acid, Biochemistry, 20, 5809, 10.1021/bi00523a025 Goldberg, 1989 Holland, 1975 Janikow, 1991, An experimental comparison of binary and floating point representations in genetic algorithms, 31 Schaffer, 1991, On crossover as an evolutionary viable strategy, 61 Eshelman, 1991, Preventing premature convergence in genetic algorithms by preventing incest, 115 Press, 1989 Hibbert, 1990, Chemometrics, Chemistry in Australia, 57, 417