Conventionally, researchers have favored the model-based control scheme for controlling gantry crane systems. However, this method necessitates a substantial investment of time and resources in order to develop an accurate mathematical model complex system. Recognizing challenge, current paper introduces novel data-driven that relies exclusively on input output data. Undertaking couple modifica...

This article offers a power quality (PQ) strategy to reduce light intensity flickers, voltage enhancements, and harmonics mitigation of the grid current in extensive networks LED lighting at Cairo airport, Egypt. A transformerless unified conditioner (TL-UPQC) with its controls is presented address majority PQ issues network. The TL-UPQC comprises dynamic restorer (DVR) as series compensator, w...

Effort estimation in software development (SEE) is a crucial concern within the engineering domain, as it directly impacts cost estimation, scheduling, staffing, planning, and resource allocation accuracy. In this scientific article, authors aim to tackle issue by integrating machine learning (ML) techniques with metaheuristic algorithms order raise prediction For purpose, they employ multilaye...

In the present study, an Enhanced SSA (ESSA) has been proposed where parameter of technique, which balances exploration and exploitation phases, modified. Additionally, variable scaling factor is engaged to regulate salp’s position during search procedure minimize random movement salps. To demonstrate effectiveness enhanced (ESSA), a set multimodal test functions are engaged. The statistical ou...

In the recent era of cloud computing, huge demand for virtual resource provisioning requires mitigating challenges uniform load distribution as well efficient utilization among machines in datacenters. Salp swarm optimization is one simplest, yet metaheuristic techniques to balance VMs. The proposed methodology has incorporated self-adaptive procedures deal with unpredictable population tasks b...

The swarm intelligence of animals is a natural paradigm to apply to optimization problems. Ant colony, bee colony, firefly and bat algorithms are amongst those that have been demonstrated to efficiently to optimize complex constraints. This paper proposes the new Sparkling Squid Algorithm (SSA) for multimodal optimization, inspired by the intelligent swarm behavior of its namesake. After an int...