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A review of surrogate-assisted evolutionary algorithms for expensive optimization problems
C He, Y Zhang, D Gong, X Ji - Expert Systems with Applications, 2023 - Elsevier
Many problems in real life can be seen as Expensive Optimization Problems (EOPs).
Compared with traditional optimization problems, the evaluation cost of candidate solutions …
Compared with traditional optimization problems, the evaluation cost of candidate solutions …
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
Multi-objective optimization for improved project management: Current status and future directions
K Guo, L Zhang - Automation in Construction, 2022 - Elsevier
To realize project management improvement, many different objectives have to be
considered simultaneously due to the nature of complexity and uncertainty in construction …
considered simultaneously due to the nature of complexity and uncertainty in construction …
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
A model predictive control system with adaptive machine-learning-based building models
for building automation and control applications is proposed. The system features an …
for building automation and control applications is proposed. The system features an …
Optimizing energy efficiency and thermal comfort in building green retrofit
Q Li, L Zhang, L Zhang, X Wu - Energy, 2021 - Elsevier
Building green retrofit offers significant opportunities for enhancing energy efficiency and
achieving green development goals. However, a conflicting criterion exists between energy …
achieving green development goals. However, a conflicting criterion exists between energy …
A review of data-driven approaches for prediction and classification of building energy consumption
A recent surge of interest in building energy consumption has generated a tremendous
amount of energy data, which boosts the data-driven algorithms for broad application …
amount of energy data, which boosts the data-driven algorithms for broad application …
A review of life cycle assessment of buildings using a systematic approach
There is increasing interest in the study of Life Cycle Assessment (LCA) of buildings, which
entails an estimate of the potential environmental impacts and resource use of buildings …
entails an estimate of the potential environmental impacts and resource use of buildings …
Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality
The indoor environment directly affects health and comfort as humans spend most of the day
indoors. However, improperly controlled ventilation systems can expend unnecessary …
indoors. However, improperly controlled ventilation systems can expend unnecessary …
Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC …
A Afram, F Janabi-Sharifi, AS Fung, K Raahemifar - Energy and Buildings, 2017 - Elsevier
In this paper, a comprehensive review of the artificial neural network (ANN) based model
predictive control (MPC) system design is carried out followed by a case study in which ANN …
predictive control (MPC) system design is carried out followed by a case study in which ANN …
A review on optimization methods applied in energy-efficient building geometry and envelope design
F Kheiri - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …
building energy performance. However, determining the best trade-offs of different building …