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Free convection of hybrid nanofluids in a C-shaped chamber under variable heat flux and magnetic field: simulation, sensitivity analysis, and artificial neural networks method (FEM). Then, using the artificial neural network (ANN) combined with the particles swarm

A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping = 0.844). Additionally, a particle swarm optimization (PSO) algorithm was employed to determine

Cooperation of Bio-inspired and Evolutionary Algorithms for Neural Network Design, as well as a new algorithm based on the cooperation of Differential Evolution and Particle Swarm Optimiza

Синтезированное оптимальное управление групповым взаимодействием квадрокоптеров на основе многоточечной стабилизации in the quality criterion by the method of penalty functions. An evolutionary particle swarm optimization

An Improved Multi-Objective Bpso-Based Method for Radial Distribution Networks Reconfiguration; however, here a new method will be introduced in order to update swarm position which is not only simple

Reliability analysis of power distribution network based on Pso-DBN swarm optimization (PSO) algorithm. The results of power distribution network reliability analysis based

Flood Susceptibility Mapping Using Remote Sensing and Integration of Decision Table Classifier and Metaheuristic Algorithms metaheuristic algorithms, such as genetic algorithms (GA), particle swarm optimization (PSO), and harmony search

Optimal power consumption motion control of a fish-like vehicle in a vortices vector fiele particle. Given the complexity of the general problem, we consider two simplifying assumptions: (i) only

Quadrocopter control by network operator method based on multi-point stabilization, the evolutionary particle swarm algorithm is used. A numerical eXample of solving the problem of optimal control

Application of Heuristic and Metaheuristic Algorithms in Solving Constrained Weber Problem with Feasible Region Bounded by Arcs optimization problem which has a nonconvex feasible set of constraints. This paper suggests appropriate

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