Abstract: During the process of photovoltaic array parameter identification, the use of the shuffled frog-leaping algorithm may encounter the issue of getting trapped in local optima. Therefore, this ...

Swarm drones serve as a crowd, often guided by advanced algorithms and artificial intelligence (AI) that enable them to maintain their formations, navigate around obstacles without collisions, and ...

ABSTRACT: Ecosystem services values (ESV) are increasingly affected by land use land cover change (LULCC) in Côte d’Ivoire. However, there is a scarcity of studies to understand the current state of ...

1 Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia. 2 MARS Research Laboratory LR17ES05, University of Sousse, Sousse, Tunisia. Currently, social ...

Abstract: To address the problems of slow convergence, low search accuracy, and easy fall into local optimum, and generating a large number of infeasible solutions when solving the 0–1 Knapsack ...

As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms (MAs) have been developed to date, ...

The work of forecasting solar power is becoming more crucial with directives to regulate the quality of the power and increase the system’s reliability as photovoltaic (PV) sites are being integrated ...