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
In the slave level, an Improved Genetic Algorithm (IGA) method is used to find the best solution of each GENCO for decision-making of investment. The validity of the proposed method is examined in the case study including three GENCOs with multi-type of power plants. The results show that...
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......
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 ...
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...
In this paper, a novel text clustering method, improved krill herd algorithm with a hybrid function, called MMKHA, is proposed as an efficient clustering way to obtain promising and precise results in this domain. Krill herd is a new swarm-based optimization algorithm that imitates the behavior...
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 ...
Architecture of proposed hybrid model. Full size image A subset of top-ranked attributes is then chosen depending on the ranking. Further, the IRF method is trained using the HCV dataset and generates the best solution through feature selection and removal. The proposed model executes tenfold cros...
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 ...
applied sciences Article Hybrid Genetic Simulated Annealing Algorithm for Improved Flow Shop Scheduling with Makespan Criterion Hongjing Wei 1,2 , Shaobo Li 3,4,* , Houmin Jiang 5 , Jie Hu 6 and Jianjun Hu 3,7,* 1 Key Laboratory of Advanced Manufacturing Technology of the Ministry of ...