Feature selection is a widely utilized technique in educational data mining that aims to simplify and reduce the computational burden associated with analysis. However, previous studies have overlooked high costs involved acquiring certain types of data. In this study, we investigate application multi-objective gray wolf optimizer (GWO) cost-sensitive feature predict students’ academic performa...

The COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed be as reliable possible. present paper aims optimize design of a plant through reliability allocation heterogeneous components under constraints. problem is solved by resorting three nature-inspired algorithms artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping ...

Water is an indispensable resource for human production and life. The evaluation of water quality by scientific methods provides sufficient support the regeneration recycling resources. In this study, entropy theory was used to evaluate overcomes limitations traditional assessment, which does not consider impact different environmental factors on quality. Considering complexity process, two typ...

In recent years, localization has become a hot issue in many applications of the Internet Things (IoT). The distance vector-hop (DV-Hop) algorithm is accepted for fields due to its uncomplicated, low-budget, and common hardware, but it disadvantage low positioning accuracy. To solve this issue, an improved DV-Hop algorithm—TWGDV-Hop—is put forward article. Firstly, position broadcast by using t...

A Wireless Sensor Network (WSN) is a group of autonomous sensors that are distributed geographically. However, sensor nodes in WSNs battery-powered, and the energy drainage significant issue. The clustering approach holds an imperative part boosting lifespan WSNs. This gathers into clusters selects cluster heads (CHs). CHs accumulate information from members transfer data to base station (BS). ...

This paper presents a new approach to control the position of microrobotics system with proportional-integral-derivative (PID) controller. By using sparrow search algorithm (SSA), optimal PID controller indicators were obtained by applying objective function namely, integral square time multiplied error (ISTES). The effeciency proposed SSAbased was verified comparisons made grey wolf optimizati...

The performance of photovoltaic (PV) systems must be predicted through accurate simulation designs before proceeding to a real-time application avoid errors. However, predicting the cohesive relationship between current and voltage estimating parameters single diode model become perplexing task due insufficient data in datasheet PV panels. This research work presents single-diode solar system a...

Abstract The computational cost of modern simulation-based optimization tends to be prohibitive in practice. Complex design problems often involve expensive constraints evaluated through Finite Element Analysis or other computationally intensive procedures. To speed up the process and deal with constraints, a new dimension-selection based constrained multi-objective (MOO) algorithm is developed...