Machine-learning algorithms for predicting land susceptibility to dust emissions:The case of the Jazmurian Basin, Iran. Atmos. Pollut. Res [42] Gholipour, G., Zhang, C., Mousavi, A.A., 2020. Nonlinear numerical analysis and progressive damage assessment of a cable-stayed bridge pier ...
Comparative study of metaheuristic algorithmsIMFOMFStructural optimizationStructural seismic designand SMF steel frame structuresThree different types of lateral resisting steel moment frames consisting of ordinary moment frame (OMF), intermediate moment frame (IMF) and special moment frame (SMF) are ...
In this paper, we analyze the performance of two multi-objective algorithms based on the Variable Neighborhood Search (VNS). The first algorithm was propos... JEC Arroyo,RDS Ottoni,AD Santos - International Conference on Intelligent Systems Design & Applications 被引量: 50发表: 2012年 Minimizing...
The tabu search metaheuristic: How we used it A general description of tabu search is given and various applications to optimization problems are presented. Some guidelines for applying the tabu metahe... A Hertz,DD Werra - 《Annals of Mathematics & Artificial Intelligence》 被引量: 344发表: ...
The obtained results showed the better performance of the SHO than the PSO, SCA, FPA and GWO algorithms given better convergence speed and accuracy. In40, the optimal power flow in microgrid based on renewable energy resources is presented using the SHO. The SHO is applied to the optimal ...
Evolutionary Algorithms Known as a generic population-based metaheuristic optimization algorithm if you’ve not been formerly introduced yet,evolutionary algorithmsare another type of machine learning; designed to mimic the concept of natural selection inside a computer. ...
PSO and DE ultimately fail to converge to an optimal solution due to the lower performance of metaheuristic algorithms with a large number of control variables. HO, on the other hand, takes advantage of the initial exploration of the search space provided by a metaheuristic algorithm (PSO), ...
The accuracy of machine learning models is affected by hyperparameters when classifying different types of urban green spaces. To investigate the impact of hyperparametric algorithms on model optimization, this study used the Marine Predators Algorithm (
Prediction of Mixed-mode I and II effective fracture toughness of several types of concrete using the extreme gradient boosting method and metaheuristic optimization algorithmsConcrete fracture toughnessEffective fracture toughnessCentra! straight notched Brazilian discMachine learning...
A comparison is made considering the results of the above mentioned frames of different ductility types. These frames are analyzed by Response Spectrum Analysis (RSA), and optimizations are performed using nine different well-established metaheuristic algorithms. Performances of these algorithms are then ...