Review of the grey wolf optimization algorithm: variants and applications
One of the most widely referenced Swarm Intelligence (SI) algorithms is the Grey Wolf
Optimizer (GWO), which is based on the pack hunting and natural leadership organization of …
Optimizer (GWO), which is based on the pack hunting and natural leadership organization of …
[HTML][HTML] Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization
Motivated by the vector evaluation genetic algorithm (VEGA), this research develops
simulation budget allocation rules for the VEGA in solving simulation optimization problems …
simulation budget allocation rules for the VEGA in solving simulation optimization problems …
Optimized machine learning modelling for predicting the construction cost and duration of tunnelling projects
Predicting duration and cost of tunnelling projects is an essential factor in determining the
usefulness of a decision-making system. Therefore, research on the duration and cost of …
usefulness of a decision-making system. Therefore, research on the duration and cost of …
Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation
Recently, using automatic configuration tuning to improve the performance of modern
database management systems (DBMSs) has attracted increasing interest from the …
database management systems (DBMSs) has attracted increasing interest from the …
Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties
J Wang, K Chen, H Yang, L Zhang - Automation in Construction, 2024 - Elsevier
Abstract The Aerial Building Machine (ABM) is a complex construction equipment used in
high-rise building construction, facing challenges due to environmental uncertainties. This …
high-rise building construction, facing challenges due to environmental uncertainties. This …
Ensemble grey wolf Optimizer and its application for image segmentation
X Yu, X Wu - Expert Systems with Applications, 2022 - Elsevier
Abstract Grey Wolf Optimizer (GWO) is a novel optimization algorithm. It mimics the hierarchy
of wolves and has shown potential optimization ability. However, it may suffer from poor …
of wolves and has shown potential optimization ability. However, it may suffer from poor …
Robust and resilience budget allocation for projects with a risk-averse approach: A case study in healthcare projects
One of the critical factors that force to complete projects in minimum time is Budget
Allocation for Projects (BAP). This subject is vital in large-scale projects like provinces and …
Allocation for Projects (BAP). This subject is vital in large-scale projects like provinces and …
Energy consumption prediction of air-conditioning systems in eco-buildings using hunger games search optimization-based artificial neural network model
The energy consumption of the heating, ventilation, and air-conditioning systems is a big
concern of energy-efficient buildings in smart cities, especially for cooling and heating loads …
concern of energy-efficient buildings in smart cities, especially for cooling and heating loads …
A novel path planning approach to minimize machining time in laser machining of irregular micro-holes using adaptive discrete grey wolf optimizer
T Zhang, H Hu, Y Liang, X Liu, Y Rong, C Wu… - Computers & Industrial …, 2024 - Elsevier
As an essential technique in fabricating substrates for flexible printed circuit boards, laser
drilling of polyimide films facilitates the production of smaller holes of superior quality, which …
drilling of polyimide films facilitates the production of smaller holes of superior quality, which …
Experimental, theoretical and numerical studies on plain concrete fracture in the low-strain rate regime—A state-of-the-art review
A comprehensive overview of state-of-the-art experimental, theoretical and numerical
methods that aid understanding and predicting the quasi-brittle fracture behavior of plain …
methods that aid understanding and predicting the quasi-brittle fracture behavior of plain …