Browsing Publikasjoner fra CRIStin by Author "Kalantar, Bahareh"
Now showing items 1-6 of 6
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Application of Three Metaheuristic Techniques in Simulation of Concrete Slump
Moayedi, Hossein; Kalantar, Bahareh; Foong, Loke Kok; Tien Bui, Dieu; Motevalli, Alireza (Journal article; Peer reviewed, 2019)Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of ... -
Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing
Moayedi, Hossein; Kalantar, Bahareh; Dounis, Anastasios; Tien Bui, Dieu; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In the present work, we employed artificial neural network (ANN) that is optimized with two hybrid models, namely imperialist competition algorithm (ICA) as well as particle swarm optimization (PSO) in the case of the ... -
Machine-Learning-Based Classification Approaches toward Recognizing Slope Stability Failure
Moayedi, Hossein; Tien Bui, Dieu; Kalantar, Bahareh; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In this paper, the authors investigated the applicability of combining machine-learning-based models toward slope stability assessment. To do this, several well-known machine-learning-based methods, namely multiple linear ... -
Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Foong, Loke Kok; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)This paper focuses on the prediction of soil shear strength (SSS), which is one of the most fundamental parameters in geotechnical engineering. Consisting of 12 influential factors, namely depth of sample, percentage of ... -
Spotted Hyena Optimizer and Ant Lion Optimization in Predicting the Shear Strength of Soil
Moayedi, Hossein; Tien Bui, Dieu; Anastasios, Dounis; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)Two novel hybrid predictors are suggested as the combination of artificial neural network (ANN), coupled with spotted hyena optimizer (SHO) and ant lion optimization (ALO) metaheuristic techniques, to simulate soil shear ... -
Two novel neural-evolutionary predictivetechniques of dragonfly algorithm (DA) andbiogeography-based optimization (BBO)forlandslide susceptibility analysis
Moayedi, Hossein; Osouli, Abdolreza; Tien Bui, Dieu; Foong, Loke Kok; Nguyen, Hoang; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)Due to the wide application of evolutionary science in different engineering problems, the main aim of this paper is to present two novel optimizations of multi-layer perceptron (MLP) neural network, namely dragonfly ...