Abstract A Simplified Grey Wolf Optimizer (SGWO) is suggested for resolving optimization tasks. The simplification in the original (GWO) method introduced by ignoring worst category wolves while giving priority to better during search process. advantage of presented SGWO over GWO a solution taking less execution time and demonstrated unimodal, multimodal, fixed dimension test functions. results...

Congestion and overloading for lines are the main problems in the exploitation of power grids. The consequences of these problems in deregulated systems can be mentioned as sudden jumps in prices in some parts of the power system, lead to an increase in market power and reduction of competition in it. FACTS devices are efficient, powerful and economical tools in controlling power flows through ...

Consider an increasingly growing field of research, Brain-Computer Interface (BCI) is to form a direct channel communication between computer and the brain. However, extracting features random time-varying EEG signals their classification major challenge that faces current BCI. This paper proposes modified grey wolf optimizer (MGWO) can select optimal channels be used in (BCIs), way identifies ...

As an inherent property of the accumulation elastic energy and sudden instability failure coal, coal bursting liability (CBL) is basis research on early warning prevention burst. To accurately classify CBL level, support-vector-machine (SVM) method was introduced in this paper, dynamic time (DT), index (WET), impact (KE) uniaxial compressive strength (RC) were selected as classification indexes...

Due to frequent drought events, increased water demand for agricultural production and limited, accurate estimation of reference evapotranspiration (ETo) is necessary developing crop irrigation schemes rational allocation regional resources. The extreme learning machine (ELM) was optimized using four biological heuristic algorithms, namely, Grey Wolf Optimizer (GWO-ELM), Moth-Flame Optimization...

Abstract In medical science, collecting and classifying data from various diseases is a vital task. The confused large amounts of are problems that prevent us achieving acceptable results. One the major for diabetic patients failure to properly diagnose disease. As result this mistake in diagnosis or early diagnosis, patient may suffer complications such as blindness, kidney failure, cutting of...

Advanced global optimization algorithms have been continuously introduced and improved to solve various complex design optimization problems for which the objective and constraint functions can only be evaluated through computation intensive numerical analyses or simulations with a large number of design variables. The often implicit, multimodal, and ill-shaped objective and constraint function...