کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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1712482 | 1013141 | 2007 | 12 صفحه PDF | دانلود رایگان |
This paper presents a non-linear climatic model (temperature and humidity), based on first-principles equations, of a greenhouse where roses are to be grown using hydroponic methods. Fitting of model parameters (15 in all) is based on measured data collected during summer in the Mediterranean area. A multi-objective optimisation procedure for estimating a set of non-linear models ΘPΘP (Pareto optimal), considering simultaneously several optimisation criteria, is presented. A new multi-objective evolutionary algorithm, -MOGA , has been designed to converge towards Θ^P*, a reduced but well distributed representation of ΘPΘP since good convergence and distribution of the Pareto front J(ΘP)J(ΘP) is achieved by the algorithm. The set Θ^P* can be used as the basis to choose an optimal model that offers a good trade-off among different optimality criteria that have been established. The procedure proposed is applied to the identification and validation of the greenhouse model presented in the paper.
Journal: Biosystems Engineering - Volume 98, Issue 3, November 2007, Pages 335–346