Proper irrigation scheduling and agricultural water management require a precise estimation of crop requirement. In practice, reference evapotranspiration (ETo) is firstly estimated, used further to calculate the each crop. this study, two new coupled models were developed for estimating daily ETo. Two optimization algorithms, shuffled frog-leaping algorithm (SFLA) invasive weed (IWO), on an ad...

In the present study, hyperspectral imaging and remote sensing of fluorescence were integrated to monitor nitrogen content in leaves drip-irrigated cotton at different growth periods northern Xinjiang, China. Based on spectrum chlorophyll parameters obtained through shuffled frog-leaping algorithm (SFLA), successive projection (SPA), grey relational analysis (GRA), competitive adaptive reweight...

To improve the unreasonable distribution of sensors' random deployment and increase network coverage rate, an optimization method of wireless sensor networks coverage based on improved shuffled frog leaping algorithm (ISFLA) was proposed in this paper.During the process of updating the frog, a novel learning strategy is introduced, in which the poor frog learns not only from the best frog of it...

Ocean exploration is one of the fundamental issues for sustainable development human society, which also basis realizing concept Internet Underwater Things (IoUT) applications, such as smart ocean city. The collaboration heterogeneous autonomous marine vehicles (AMVs) based on underwater wireless communication known a practical approach to exploration, typically with surface vehicle (ASV) and g...

this paper presents a new damping controller design based on fuzzy wavelet neural network (fwnn) to damp the multi-machine power system low frequency oscillations. the error between the desired system output and the output of control object is directly utilized to tune the network parameters. the orthogonal least square (ols) algorithm is used to purify the wavelets for each rule and determine ...

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

The frequency modulation sound parameter identification is a complex multimodal optimization problem. This problem is modeled in the form of a cost function that is the sum-squared error between the samples of estimated wave and the samples of real wave. In this research, the authors propose a shuffled particle swarm optimization algorithm to solve this problem. In the shuffled particle swam op...