DocumentCode :
1827896
Title :
Utopian exploration of global patterns of plant metabolism
Author :
Furze, James N. ; Quanmin Zhu ; Feng Qiao ; Hill, Jason
Author_Institution :
Fac. of Environ. & Technol., Univ. of the West of England, Bristol, UK
fYear :
2013
fDate :
Aug. 31 2013-Sept. 2 2013
Firstpage :
47
Lastpage :
52
Abstract :
In order to differentiate the photosynthetic processes of plant species in a variable dynamic, a hybrid genetic-fuzzy system for Cuba is designed in this paper. The proposed fuzzy control algorithm and consequent genetic optimization, process species numbers and characteristics of metabolism, in order to overcome non-linearity in the water energy dynamic. Furthermore, exploration into the utopia hyper-plane of metabolic characters, enable accurate prediction of climatic variables. Results of the Pareto front display a utopia line, which validates the effectiveness of MOGA application with biological data.
Keywords :
botany; fuzzy control; genetic algorithms; photosynthesis; Cuba; MOGA application; Pareto front display; Utopia line; Utopian exploration; biological data; fuzzy control algorithm; genetic optimization; global patterns; hybrid genetic-fuzzy system; photosynthetic processes; plant metabolism; plant species; utopia hyper-plane; variable dynamic; water energy dynamic; Biochemistry; Biological cells; Computer aided manufacturing; Optimization; Sociology; Statistics; Vectors; Metabolism; Photosynthetic processes; hybrid genetic fuzzy system; utopia hyper-plane;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-0-9567157-3-9
Type :
conf
Filename :
6642198
Link To Document :
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