Parameter optimization for growth model of greenhouse crop using genetic algorithms

Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China

“…Although countries around the world vary in their speed of agricultural development, all pursue modern approaches because they enable both high productivity and economic benefits [3,4]. Greenhouse use has emerged in response to these developments, as an important tool in modern agriculture [5] that can enhance both the quality and output of products by using artificial facilities to alter horticultural environments [6]. Because greenhouses are effective ways to utilize water and land resources, as well as enhance output rates [7], it is not surprising that their usage has comprised an increasing proportion of global agriculture [8].…”

Intelligent Integration between Human Simulated Intelligence and Expert Control Technology for the Combustion Process of Gas Heating Furnace

“…Therefore, it is impossible to use the methods and techniques based on the classical control theory or modern control theory to obtain the expected control effect of the uncertainty complicated combustion process of the gas heating furnace [5,6]. Because of its control algorithm being based on the strict mathematic model, the conventional control strategy such as PID control strategy is not advisable [7]. At present fuzzy control technology has been lots of successful application example of case.…”

Calibration of a crop model to irrigated water use using a genetic algorithm

“…Multi-objective GA have been used in the calibration of this model (Bekele and Nicklow, 2007;Whittaker et al, 2007) as well. GA have also been used to calibrate runoff models such as HBV (Seibert, 2000) and TOPSIS (Cheng et al, 2006) as well as crop (Dai et al, 2009) and crop-related models such as SWAP (He et al, 2007).…”