Your English writing platform
Discover LudwigSuggestions(1)
Exact(14)
The particle position is updated depending on the following binary decision rule: (15).
Thus, whenever the particle position is updated using this model, the (artificial) global best particle position is not considered in the update process.
(5) The particle position is updated depending on the following binary decision rule: (15) (6) Go to Step 3 until the maximum number of iterations is reached.
The center points are needed in the second step where enclosed contour v(s) = (x s), y(s)) is moved within the image, and its position is updated iteratively into the direction of lowest energy.
Every time a user's position is updated by the mobility model, the new location is approximated to the nearest point of the propagation matrix, and the new propagation conditions are derived from the matrix.
Furthermore, for each dimension d ∈ D min, D max, the global best particle position is updated as y ^ d t + 1 = { y ^ d t, if min p F y p d t + 1 ≥ F y ^ d t argmin y p d t + 1 F y p d t + 1, else, (3).
Similar(46)
Velocities and positions are updated for each iteration in PSO.
In particle swarm optimization, positions are updated considering velocities.
The nodal positions are updated in a Lagrangian manner according to the velocity solution at each time step.
At every instant of time, velocity potential is computed at each node and the nodal positions are updated.
Afterwards, the propagation conditions for the new positions are updated using the models presented in Section 5.2.3.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com