A Hybrid Genetic Algorithm for the Estimation of Polyesterification Kinetic Parameters
作者： G. Feng , F. Li , H. Li , H. Qu , Y. Cui
关键词: Kinetic energy 、 Stereochemistry 、 Genetic algorithm 、 Kinetic model 、 Range (statistics) 、 Biological system 、 Chemistry
摘要: A simple genetic algorithm (SGA) has been improved in this paper. The resulting hybrid (HGA) was used to estimate the kinetic parameters of polyesterification between dimer fatty acid and ethylene glycol. values product predicted by model match well with experimental data at different material proportions conversion ratios. proven be effective. compared algorithm, result indicated that higher efficiency, stronger ability on local searches, better precision, a wider search range.
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