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 this paper, an optimal design of a microgrid including four houses in Dakhla city (Morocco) is proposed. To make study comprehensive and applicable to any hybrid system, each house has different configuration renewable energies. The configurations these are PV/wind turbine (WT)/biomass/battery, PV/biomass, PV/diesel/battery, WT/diesel/battery systems. comparison factor among the cost energy ...

In the present study, a two-step approach for damage prognosis in long trusses is suggested in which the first step deals with locating probable damages by wavelet transform (WT) and static deflection derived from modal data with the intention of declining the subsequent inverse problem variables. Then, in the second step, optimization based model updating method using Artificial Bee Colony (AB...

This paper proposes the application of differential evolution (DE) algorithm for the optimal tuning of proportional-integral (PI) controller designed to improve the small signal dynamic response of a stand-alone solid oxide fuel cell (SOFC) system. The small signal model of the study system is derived and considered for the controller design as the target here is to track small variations in SO...

This article is based on the application of heuristic algorithms to solve the optimum solution for a VLSI circuit. The idea is to find the optimum layout for a 2-to-1 multiplexer with minimal average power. The objective function is the average power of 2:1 MUX with four MOSFETs with different channel widths. They make a four dimensional space which is searched by search agents of algorithm. Mo...

Nowadays, effort estimation in software projects is turned to one of the key concerns for project managers. In fact, accurately estimating of essential effort to produce and improve a software product is effective in software projects success or fail, which is considered as a vital factor. Lack of access to satisfying accuracy and little flexibility in existing estimation models have attracted ...

As a very powerful optimization algorithm, invasive weed optimization has been widely applied to continuous optimization problems in electromagnetic (EM) field. However, the optimization of a thinned array can be formulated as a discrete-variable optimization problem with solutions encoded as binary strings. Therefore, in this paper, an improved binary invasive weed optimization (IBIWO) is prop...

Fault diagnosis of induction motor anomalies is vital for achieving industry safety. This paper proposes a new hybrid Machine Learning methodology induction-motor fault detection. Some the parameters such as stator currents and vibration signals provide great deal information about motor’s conditions. Therefore, these were selected to test proposed model. The was assessed in laboratory under he...