As a first attempt, finite element (FE), genetic algorithm (GA) and particle swarm optimization (PSO) methods are mixed to maximize buckling load of stiffened laminated composite plate via finding optimum fibers orientation of the plate. The FE method is used to solve the higher-order shear de...
Misevicius 2004] Misevicius A.: "An Improved Hybrid Genetic Algorithm: New Re- sults for the Quadratic Assignment Problem"; Knowledge-Based Systems, 17, (2004), 65-73Alfonsas Misevicius.An improved hybrid genetic algorithm: new results for the quadratic assignment problem. Mathematical Modelling...
Section “PSO-IGPR hybrid algorithm for geomechanical parameter identification” introduces the method for theoretically identifying the geomechanical parameters of rock masses based on the PSO-IGPR hybrid algorithm. In Section “Case study on Beikou tunnel”, the PSO-IGPR hybrid algorithm is used ...
Teeth Category Classification by Fractional Fourier Entropy and Improved Hybrid Genetic AlgorithmIt is significant to classify teeth categories in dental treatment. A novel teeth classification method was proposed in this paper, which combined fractional Fourier entropy and feedforward neural......
The hyper-heuristic method based on a genetic algorithm was presented in44 and estimates various MAs for determining the optimal threshold for each image using a predetermined value of th using the Otsu method. In45, new efficient version of the recent chimp optimization algorithm (ChOA) was ...
A noveI extraction method for e uivaIent circuit parameters of HBT smaII-signaI hybrid-Pi mod- eI . n:GaAs 2000 Conference Proceedings 2nd-3rd,Paris,2000 Ga 0. 49 In 0. 51 P/ GaAs HBT Small-Signal Model Extraction Using a Improved Genetic Algorithm ! Shi Ruiying 1,2,3 ,Liu Xun...
As we all know, the random forest algorithm has the advantages of high classification intensity and wide application range. Nevertheless, it still has a lot of room for improvement. This paper introd...
Since optimization software such as Lingo or CPLEX can only solve this problem on a small scale within an acceptable time, a hybrid genetic algorithm (GA) is proposed. GAs have been widely used to solve various optimization problems [2,24–26]. A comprehensive review of GAs in solving the ...
There are many factors that affect the compressive strength of concrete. The relationship between compressive strength and these factors is a complex nonlinear problem. Empirical formulas commonly used to predict the compressive strength of concrete are
They use multiple mechanisms to effectively classify data points, most of which are used for network anomaly detection systems based on ensemble-based and hybrid-based. Folino et al.25 proposed a distributed data mining method based on genetic programming extended with ensemble learning to improve ...