Proper assessment of geometric features of a thermoelectric generator is important to design
devices with improved performance features such as high efficiency and output power. In the …

Wind power and solar photovoltaic (PV) power are two of the most implemented renewable
energy; however, they are vulnerable to weather uncertainties. Most existing works …

Wake effect and wind uncertainty are the key factors resulting in low efficiency in wind
energy extraction. Classic micro-siting approaches focus on reducing the wake effect to …

The configuration of the photovoltaic panels is important to maximize the energy output of a
photovoltaic power plant. In this thesis, I have developed an algorithm calculating the …

In the last three decades, the focus of multi-criteria optimization has been solving problems
containing two or three objectives. However, real-world problems generally involve multiple …

The configuration of solar farms, in which solar collectors are arranged in rows, is related to
field and collector characteristics and solar radiation data. The main parameters considered …

This paper presents a simulation evolution and optimization approach for optimal
configurations of a PV farm considering uncertain weather and dust soiling scenarios …

Visualization of an approximate solution set in multi-and many-objective optimization is a
crucial component of the optimization process. To date, the focus of many of the visualization …

Multi-objective optimization metaheuristics (MOMs) are powerful methods for solving
complex optimization problems but can require a large number of function evaluations to …