mathworks.com/matlabcentral/fileexchange/153466-synergistic-swarm-optimization-algorithm.doi:10.32604/cmes.2023.045170Alzoubi, SharafAbualigah, LaithSharaf, MohamedDaoud, Mohammad Sh.Khodadadi, NimaHeming JiaCMES-Computer Modeling in Engineering & Sciences...
a Genetic Algorithm (GA), inspired by the process of natural selection, is used for searching for optimal solutions by evolving a population of individual solutions9, Particle Swarm Optimization (PSO) is stimulated by the social conduct of birds flocking, PSO adjusts the trajectory...
This algorithm adjusts the model parameters in a manner that minimizes the error function, thereby reducing the overall model error. The backpropagation training process can be summarized in two main steps: Forward pass: The input vector is fed into the multilayer network, propagating through the ...
[16] aimed to boost the output power of variable leg thermoelectric generators by integrating finite element method, genetic algorithm, and particle swarm optimization. They suggested that modifying the leg shape increased the thermoelectric figure of merit, subsequently enhancing the device output power...
A path planning algorithm under a dynamic environment is developed to establish the model. This algorithm incorporates a Tabu table into particle swarm optimization (PSO) to improve its optimization ability, and it obtains the initial detection route of each UAV based on a 鈥渕inimum ring鈥method...
The scheduling model is solved by an improved particle swarm optimization algorithm, which applies the inertia weight obeying the standard normal distribution and the nonlinear anticosine learning factors to avoid premature convergence and the loss of population space diversity. Finally, the validity and...
ALGORITHMIn particle swarm optimization (PSO), the canonical learning exemplars and information sharing mechanism are often criticized due to the loss of population diversity. Aiming at preserving population diversity and promoting search ability of PSO, this paper introduces an elite-ordinary synergistic ...
(SDFC) algorithm, combines statistical methods, such as mutual information and variance thresholding, with advanced model-based techniques, including Support Vector Machine (SVM) with Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) are employed to identify the most relevant ...
(ICES)is firstly established based on a major breakthrough in large-scale centralized power supply; then,a day-ahead scheduling optimization model for ICES is built by quantum-behaved particle swarm algorithm,and the rigid coupling between heating network and power grid is improved by adjusting CHP...
A path planning algorithm under a dynamic environment is developed to establish the model. This algorithm incorporates a Tabu table into particle swarm optimization (PSO) to improve its optimization ability, and it obtains the initial detection route of each UAV based on a 鈥渕inimum ring鈥method...