Hybrid model Optimization

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 2 2   Download

Artificial neural network (ANN), a powerful technique, has been used widely over the last decades in many scientific fields including engineering problems. However, the backpropagation algorithm in ANN is based on a gradient descent approach.

15p vibecca 01-10-2024 2 1   Download

this study proposed a hybrid machine learning model which is based on k-nearest neighbors (KNN) and Bayesian optimization (BO), named as BOKNN, for predicting the local damages of reinforced concrete (RC) panels under missile impact loading.

14p vifilm 24-09-2024 3 2   Download

This research also demonstrates the effectiveness of DHACA compared with the previous studies such as Multi-objectives Genetic Algorithm (MOGA), Simulated Annealing Algorithm based Multi-objectives Genetic Algorithm (SAbased MOGA) on the CSLP. DHACA supports the construction site dynamic planning with constraints on facilities to improve work efficiency.

11p vifilm 24-09-2024 2 1   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 11 4   Download

The article "A review of metaheuristic optimized machine learning regression with applications in construction engineering" aims at reviewing state-of-the-art research works involving the use of metaheuristic optimized machine learning regression models. Recent research articles published in the time period of 2019-2021 are surveyed. Research areas of construction material, construction management, structural engineering, geotechnical engineering, hydraulic engineering, and structural health monitoring are taken into account.

7p nhanchienthien 25-07-2023 7 4   Download

This paper introduces a building information modeling (BIM)-based model to evaluate the environmental and economic consequences of different project alternatives. The model calculates direct, indirect emissions and primary energy for the overall project life cycle.

20p tohitohi 22-05-2020 11 0   Download

(BQ) The present work is aimed at optimizing the surface roughness of die sinking electric discharge machining (EDM) by considering the simultaneous affect of various input parameters.

9p xuanphuongdhts 27-03-2017 55 2   Download