This paper aims at optimizing the parameters involved in stress analysis of perforated plates, in order to achieve the least amount of stress around the square-shaped holes located in a finite isotropic plate using metaheuristic optimization algorithms. Metaheuristics may be classified into three main classes: evolutionary, physics-based, and swarm intelligence algorithms. This research uses Ge...

Spam detection is a significant problem which is considered by many researchers by various developed strategies. The best and main spam detection technique should consider and scan the content of the messages to find spam. This research concerns the development of the certain category of granular computing as a classifier for spam detection. In this research, Fuzzy Granular Computing Classifica...

The optimization of industrial processes is a critical task for leveraging profitability and sustainability. To ensure the selection optimum process parameter levels in any process, numerous metaheuristic algorithms have been proposed so far. However, many are either computationally too expensive or become trapped pit local optima. counter these challenges, this paper, hybrid called PSO-GSA emp...