Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …

Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …

Recently, accurate modeling of current vs. voltage (I–V) characteristics of solar cells has
attracted the main focus of various researches. The main drawback in accurate modeling is …

This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

The improvement of energy efficiency and environmental performance of buildings is
considered a major priority worldwide. New building regulations have an explicit orientation …

Optimization of renewable energy components is a complex and optimal balance between
the solar, wind components and hydrogen storage needs particular attention to minimize …

Precise model parameters being the prerequisite for realizing accurate PV models,
parameter identification techniques have gained immense interest over the years among the …

In this paper, the optimum parameters of tuned mass dampers (TMD) are proposed under
seismic excitations. Harmony search (HS), a metaheurestic optimization method, which has …

Deep neural networks have been widely fostered throughout the last years, primarily on
account of their outstanding performance in various tasks, such as objects, images, faces …