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Advances in optimization of highrise building structures
This paper presents a review of interesting work on optimization of highrise building
structures with a focus on large-scale and real-life structures. A number of interesting …
structures with a focus on large-scale and real-life structures. A number of interesting …
A novel machine learning model for estimation of sale prices of real estate units
Predicting the price of housing is of paramount importance for near-term economic
forecasting of any nation. This paper presents a novel and comprehensive model for …
forecasting of any nation. This paper presents a novel and comprehensive model for …
Combination of video change detection algorithms by genetic programming
Within the field of computer vision, change detection algorithms aim at automatically
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …
Global sensitivity‐based model updating for heritage structures
Sensitivity‐based approaches to model updating have become widely used because of their
capability to calibrate the model by taking into account the influence of updating parameters …
capability to calibrate the model by taking into account the influence of updating parameters …
Feature extraction and classi cation techniques for health monitoring of structures
Damage identi cation in Structural Health Monitoring (SHM) involves three main steps:
signal acquisition, signal processing, and feature extraction and interpretation. Recently, the …
signal acquisition, signal processing, and feature extraction and interpretation. Recently, the …
Calibrating rail transit assignment models with genetic algorithm and automated fare collection data
Recently, automated fare collection (AFC) systems using smart card technology have
become the main method for collecting urban rail transit (URT) fares in many cities around …
become the main method for collecting urban rail transit (URT) fares in many cities around …
Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms
This paper studies the computation of ensembles of priority rules for the One Machine
Scheduling Problem with variable capacity and total tardiness minimization. Concretely, we …
Scheduling Problem with variable capacity and total tardiness minimization. Concretely, we …
Water drop algorithms
This article presents a review of a novel nature-inspired adaptive optimization algorithm
known as Water Drop Algorithm (WDA) which imitates the dynamics of river systems and the …
known as Water Drop Algorithm (WDA) which imitates the dynamics of river systems and the …
Sustainability in highrise building design and construction
This paper presents a review of the recent literature on sustainability in construction and
design with a focus on highrise buildings. The paper is divided into the following main …
design with a focus on highrise buildings. The paper is divided into the following main …
Applications of harmony search algorithms in engineering
In a recent article the authors reviewed the principles of harmony search and journal articles
on harmony search algorithm (HSA). This article presents a review of applications of HSA …
on harmony search algorithm (HSA). This article presents a review of applications of HSA …