ArticleSensors (Basel, Switzerland)2019
A Novel Swarm Intelligence-Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems.Scientific reports · 2025Article
- Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller.Arabian journal for science and engineering · 2023Article
- An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection.Entropy (Basel, Switzerland) · 2022Article
- Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique.Sensors (Basel, Switzerland) · 2022Article
- Using Harris hawk optimization towards support vector regression to ozone prediction.Stochastic environmental research and risk assessment : research journal · 2022Article
- Harris Hawk Optimization: A Survey onVariants and Applications.Computational intelligence and neuroscience · 2022Review
- Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms.Environmental science and pollution research international · 2021Article
- An Intelligent Optimization Algorithm for Constructing a DNA Storage Code: NOL-HHO.International journal of molecular sciences · 2020Article
- Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques.Sensors (Basel, Switzerland) · 2020Article
- Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network.Sensors (Basel, Switzerland) · 2020Article
- Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm.Computational intelligence and neuroscience · 2020Article
- Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles.Sensors (Basel, Switzerland) · 2019Article
- Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic.Sensors (Basel, Switzerland) · 2019Article
- An Adaptation Multi-Group Quasi-Affine Transformation Evolutionary Algorithm for Global Optimization and Its Application in Node Localization in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
7 authors.
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Abstract
In this research, the novel metaheuristic algorithm Harris hawks optimization (HHO) is applied to landslide susceptibility analysis in Western Iran. To this end, the HHO is synthesized with an artificial neural network (ANN) to optimize its performance. A spatial database comprising 208 historical landslides, as well as 14 landslide conditioning factors-elevation, slope aspect, plan curvature, profile curvature, soil type, lithology, distance to the river, distance to the road, distance to the fault, land cover, slope degree, stream power index (SPI), topographic wetness index (TWI), and rainfall-is prepared to develop the ANN and HHO-ANN predictive tools. Mean square error and mean absolute error criteria are defined to measure the performance error of the models, and area under the receiving operating characteristic curve (AUROC) is used to evaluate the accuracy of the generated susceptibility maps. The findings showed that the HHO algorithm effectively improved the performance of ANN in both recognizing (AUROC
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