As sustainable urban communities continue to seek alternative energy sources, this study
explores the inclusion of renewable resources in the energy mix. With a focus on liquefied …

Genetic Programming (GP) is an intelligence technique whereby computer programs are
encoded as a set of genes which are evolved utilizing a Genetic Algorithm (GA). In other …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

In the present research, the Grey Wolf Optimizer (GWO) was used to minimize the yearly
energy consumption of an office building in Seattle weather conditions. The GWO is a meta …

Identifying the performance factors of organizations is of utmost importance for labor studies
for both empirical and theoretical research. The present study investigates the essential intra …

Abstract The European Union's (EU) building stock is characterised by low energy efficiency
and slow growth rates. To achieve EU's greenhouse gas (GHG) emission targets, doubling …

According to the literature, there is a research gap concerning the practical heat recovery in
solar-driven systems that have the capability to produce liquid hydrogen. In this study, an …

Current planning and design decision support systems show limitations in the integration of
design, science, and computation. Planning support systems with manual design and post …

Optimization problems frequently appear in any scientific domain. Most of the times, the
corresponding decision problem turns out to be NP-hard, and in these cases genetic …

The ever-increasing attention towards implementation of environmentally sustainable
buildings necessitates the predictions of energy consumption and indoor environmental …