Many problems in real life can be seen as Expensive Optimization Problems (EOPs).
Compared with traditional optimization problems, the evaluation cost of candidate solutions …

In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

Multi-objective optimization of a hybrid system is investigated to supply an autonomous
residential building. The proposed system consists of photovoltaic panel, wind turbine …

The present study aims to assess the possibility of achieving net zero energy building in the
Moroccan housing stock by combining architectural energy efficiency practices and …

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

The occupant density in buildings is one of the major and overlooked parameters affecting
the energy consumption and virus transmission risk in buildings. HVAC systems energy …

The objective of this paper is to optimize the passive design of newly-built residential
buildings in hot summer and cold winter region of China for improving indoor thermal …

Worldwide, the residential buildings are consuming a considerable amount of energy. The
high potential of buildings towards energy efficiency has drawn special attention to the …

Integrating optimization algorithms into simulation-based design processes is a promising
approach for achieving energy efficient buildings. Building Energy Simulation and …

The increasing global importance of climate change has been clearly recognised in the last
few years. The building industry contributed to a large proportion of the global energy use …