Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …

Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

In the realm of solving complex optimization problems, it becomes crucial to fulfill multiple
objectives to achieve optimal system performance while adhering to various conditions and …

Meta-heuristic algorithms distinguish themselves from conventional optimization methods
owing to their intrinsic adaptability and straightforward implementation. Among them, the …

Due to advancements in optimization technology, numerous variable-parameter Muskingum
models have been proposed in recent decades, aiming at enhancing the effectiveness of the …

The management of construction projects has long emphasized the delicate balance
between time and cost, as these factors play a critical role in achieving optimal project …

Wastewater treatment systems are essential in today's business to meet the ever-increasing
requirements of environmental regulations while also limiting the environmental impact of …

Virtual reality and augmented reality are increasingly used for immersive engagement by
utilizing information from real environments. In particular, three-dimensional model data …

The use of photovoltaic (PV) energy has made great advances in recent years toward
satisfying the world's increasing energy demand. Since a large fraction of the solar radiation …

This advanced research focuses on designing and analyzing a DC motor speed drive with
Generalized Regression Neural Network (GRNN) and Invasive Weed Optimization (IWO) …