Feature selection in Arabic text is a challenging task due to the complex and rich nature of Arabic. The feature requires solution quality, stability, conver- gence speed, ability find global optimal. This study proposes method using Hybrid Binary Gray Wolf Optimizer (HBGWO) for Ara- bic classification. HBGWO combines local search capabilities or exploratory BGWO around best solutions exploits ...

It is extremely critical for an emergency response to quickly and accurately use source term estimation (STE) in the event of hazardous gas leakage. To determine appropriate algorithm, four swarm intelligence optimization (SIO) algorithms including Gray Wolf optimizer (GWO), particle (PSO), genetic algorithm (GA) ant colony (ACO) are selected be applied STE. After calculation, all can obtain le...

Process mining has piqued the interest of researchers and technology manufacturers. aims to extract information from event activities their interdependencies events recorded by some enterprise systems. An system’s transactions are labeled based on content, such as an activity that causes occurrence another, timestamp between events, resource which transaction originated. This paper describes a ...

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast displacements hydropower dams. In used create whereas algorithm employed search penalty and kernel parameters for SVR. this work, multiple-arch was selected as case study. To val...

Precise streamflow prediction is crucial in the optimization of distribution water resources. This study develops machine learning models by integrating recurrent gate unit (GRU) with bacterial foraging (BFO), gray wolf optimizer (GWO), and human group (HGO) to forecast Tra Khuc River, Vietnam. For this purpose, time series daily rainfall river flow at Son Giang station from 2000 2020 were empl...

Cross docking is a logistics strategy that strives to reduce inventory holding costs, shipping costs, and delays in delivering the products. In this research, an optimization model is presented for split loading and unloading products by suppliers and customers, vehicle routing with fuzzy possibilistic time window constraints among them, assignment of vehicles to cross dock, consolidation and i...