There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …

Equilibrium optimizer (EO) is a recent optimization method inspired by the physical equation
of the mass balance that provides the conservation of mass entering, leaving, and …

Photovoltaic (PV) modeling is becoming an increasingly popular field of study. When it
comes to the effective performance and reliability of PV systems, the reliability of PV models …

Firefly algorithm (FA) is a new random swarm search optimization algorithm that is modeled
after movement and the mutual attraction of flashing fireflies. The number of fitness …

Parameter identification and accurate photovoltaic (PV) modeling from basic I–V information
are necessary for simulation, optimization, and control of the PV systems. Therefore, this …

The unmanned aerial vehicle (UAV) path planning problem is a type of complex multi-
constraint optimization problem that requires a reasonable mathematical model and an …

The aim of this article is to present a chaotic fruit fly algorithm (CFFA) as an optimization
approach for solving engineering design problems (EDPs). In CFFA, the fruit fly algorithm …

When it comes to identifying the industrial solutions of solar photovoltaic (PV) systems, one
of the difficult tasks is predicting the effectiveness of a PV system since the P–V, and I–V …

This paper presents an improved equilibrium optimiser (IEO)-based method for dynamic
hourly network reconfiguration (NR) with optimal allocation of dispatchable and non …

Calculating the minimum safety factor for locating or investigating the critical slip surfaces of
soil slopes is a complex optimization problem. In this work, a series of variables are utilized …