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DOI	10.1111/j.1365-3040.2009.02036.x
	Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm
	Su, Yonghong; Zhu, Gaofeng; Miao, Zewei; Feng, Qi; Chang, Zongqiang
发表日期	2009
ISSN	0140-7791
EISSN	1365-3040
卷号	32 期号:12
英文摘要	Photosynthesis response to carbon dioxide concentration can provide data on a number of important parameters related to leaf physiology. The genetic algorithm (GA), which is a robust stochastic evolutionary computational algorithm inspired by both natural selection and natural genetics, is proposed to simultaneously estimate the parameters [including maximum carboxylation rate allowed by ribulose 1 center dot 5-bisphosphate carboxylase/oxygenase (Rubisco) carboxylation rate (V-cmax), potential light-saturated electron transport rate (J(max)), triose-phosphate utilization (TPU), leaf dark respiration in the light (R-d) and mesophyll conductance (g(m))] of the photosynthesis models presented by Farquhar, von Caemmerer and Berry, and Ethier and Livingston. The results show that by properly constraining the parameter bounds the GA-based estimate methods can effectively and efficiently obtain globally (or, at least near globally) optimal solutions, which are as good as or better than those obtained by non-linear curve fitting methods used in previous studies. More complicated problems such as taking the g(m) variation response to CO2 into account can be easily formulated and solved by using GA. The influence of the crossover probability (P-c), mutation probability (P-m), population size and generation on the performance of GA was also investigated.
关键词	A-C-i curves genetic algorithm mesophyll donductance photosynthesis model
学科领域	Plant Sciences
语种	英语
WOS研究方向	Plant Sciences
来源期刊	PLANT CELL AND ENVIRONMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/111557
作者单位	Chinese Acad Sci, Cold & Arid Regions Environm & Engn Res Inst, Beijing 100864, Peoples R China
推荐引用方式 GB/T 7714	Su, Yonghong,Zhu, Gaofeng,Miao, Zewei,et al. Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm[J]. 中国科学院西北生态环境资源研究院,2009,32(12).
APA	Su, Yonghong,Zhu, Gaofeng,Miao, Zewei,Feng, Qi,&Chang, Zongqiang.(2009).Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm.PLANT CELL AND ENVIRONMENT,32(12).
MLA	Su, Yonghong,et al."Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm".PLANT CELL AND ENVIRONMENT 32.12(2009).