Optimasi Pertumbuhan Tanaman Ketimun Mini (Cucumis sativus L. Var. Marla) pada Fase Vegetatif dengan Algoritma Genetika

Abstract

Abstract An optimization was conducted to a growth model for baby cucumber (Cucumis sativus L. Var. Marla). The model gives informafion of nutrient intake and micro climate conditions (temperature, humidity, and irradiation) to get the response of the plant (ratio of canopy area and stem diameter) and the loss of nutrient solution. The model was then coupled with genetic algo-ithm in order to get optimum result efficiently. Two fitness functions were used in the application of genetic algorithm. The results showed that the first fitness function could be used to optimize the plant response (ratio of canopy area and stem diameter) and the loss of nutrient solution efficiently as indicated by the maximum fitness value ( PC = 0.6 and Pm = 0.01). Keywords: genetic algorithm, artificial neural networks, plant response, nutrient solution, micro climate