Your English writing platform
Discover LudwigExact(60)
Stop condition.
The algorithm stops when stop condition is satisfied.
We set up the main points of theory on convergence, stop condition and error estimation.
Stop condition is (k > K_{max}) or (parallel p_{k+1} - p_{k} parallel
The various parameters in PSO are number of particles, dimension of particles, and range of particles, learning factor, stop condition and global versus local version.
In addition, the flexibility of stop condition is poor.
Repeat step 3 until convergence is reached or the stop condition is met.
The last step of NSGA-II is checking the stop condition.
The stop condition, energy function, and neighborhood function are independent of each other.
Otherwise, repeat Steps 2 4 until the stop condition is achieved.
As with the other parameters, the stop condition depends on the problem to be optimized.
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