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...
Similarly, Particle Swarm Optimization (PSO) has emerged as a powerful tool for multi-objective optimization in drone design, leveraging swarm intelligence to navigate complex solution spaces [11]. Recently, the Osprey Optimization Algorithm (OOA), inspired by the hunting behavior of ospreys, has ...
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...
[22]optimized the polishing parameters using a Particle Swarm Optimization (PSO) algorithm optimized Back Propagation neural network algorithm. Zhao et al.[23]established a model for the relationship between silicon wafer surface roughness and the factors affecting it using a backpropagation (BP) ...
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...
Subsequently, an innovative variant of the Velocity Pausing Particle Swarm Optimization (VPPSO) algorithm was employed to identify optimal energy consumption solutions. This novel optimization technique can achieve significant reductions in building energy consumption, with potential savings of up ...
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 ...
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...