A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

Evaluation of student failure in higher education by an innovative strategy of fuzzy system combined optimization algorithms and AI

“… Utilize the optimization algorithm to update the parameters of the ANFIS model iteratively. The algorithm explores the solution space to find optimal or near-optimal parameter values [ [72] , [73] , [74] ]. Define stopping criteria for the optimization process, such as a maximum number of iterations or reaching a satisfactory level of performance.…”

Modeling and Evaluation of the Susceptibility to Landslide Events Using Machine Learning Algorithms in the Province of Chañaral, Atacama Region, Chile

“…The direction to which a slope faces, typically expressed in degrees from north [45] Hillshade A measure of the exposure of a surface to sunlight, based on the orientation and angle of the sun [46] Slope Steepness of the land surface [47] Total curvature A measure of the curvature of the ground surface that takes into account both the maximum and minimum curvature at each point [48] Plane curvature Curvature of the ground surface in the direction of the horizontal plane [48] Topographic wetness index (TWI) Indicator of the accumulation of moisture in the soil, calculated from the ratio of the cumulative flux to the slope of the land [49] Terrain ruggedness index (TRI) A measure of the elevation variation in a region, indicating the roughness of the terrain [50] Topographic position index (TPI) A value that compares the elevation of a point to the average elevation of a surrounding area [51] Slope length Distance over which water flows before reaching a channel [52] Melton ruggedness number A measure of terrain roughness that combines elevation height with watershed area [53] Convergence index Index that evaluates the trend of convergence or divergence of water flow at the land surface [51] Valley depth Vertical distance from the valley floor to the nearest peak [54] LS factor Component of the revised universal soil loss equation (RUSLE) erosion prediction model representing slope length and slope gradient [55] Geomorphons Terrain classification based on geomorphological patterns describing the shape of the terrain [15] Table 2. Factors derived from Landsat 9 L2 (10 m).…”

“…Also, in landslide susceptibility mapping, slope is important because it affects water flow and material sliding [47]. At the same time, given its relationship to a number of other variables, such as rainfall and solar radiation, aspect is a topography element that is frequently used in landslide susceptibility mapping [45]. Another important component of landslide susceptibility mapping is hillshade, which indicates the relative location of the slope angle and clarifies a cell's position with regard to its aspect and slope [46].…”

Fast hybrid methods for modeling landslide susceptibility in Ardal County

“…Popular optimization algorithms such as particle swarm optimization (PSO) 35 , genetic algorithm (GA) 36 , and differential evolution (DE) 37 have been extensively used for optimizing the computational parameters of machine learning models which are responsible for tuning the LCFs-landslide relationships. Newer generations of optimization algorithms consist of Harris hawks optimization (HHO) 38 , salp swarm algorithm (SSA) 39 , cuckoo optimization algorithm (COA) 40 , Satin bowerbird optimizer (SBO) 41 , teaching–learning-based optimization (TLBO) 42 , biogeography-based optimization (BBO) 43 , etc. which have served for landslide susceptibility mapping worldwide.…”