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 ...

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 ...

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 ...

To solve the low efficiency of simple greedy algorithms, [22] in 2009 proposed a degree discount heuristics to improve influence spread, by considering the degree discount of a candidate node caused ...

This paper deals with a Unit Commitment (UC) problem of a power plant aimed to find the optimal scheduling of the generating units involving cubic cost functions. The problem has non convex generator ...