Your English writing platform
Discover LudwigExact(18)
In every generation, a variable number of chromosome pairs are selected for crossover and better generated offspring replace individuals in the current population.
We generated offspring from 41 unique parental pairs and analyzed 1,105 cross/trait combinations.
Such a selection ensures that the new generated offspring would carry some features from the elite parent.
We set m to memory capacity and k to ensure their generated offspring can still hold in memory.
This is because the number of generated offspring in any iteration of GA is much higher than in the HS algorithm (only one offspring).
To ensure the generated offspring being a connected light-tree, a light-path repair process and a loop eliminating process are designed.
Similar(42)
Then, we randomly generated offsprings for different generations.
In the next step, we use the generated offsprings to generate offsprings of the next generation by pairing together unrelated individuals from the current generation.
Step 3 Legalize two generated offsprings A0 and B0.
This process of GA continues with the newly generated offsprings until a termination criterion is satisfied.
Since solution representation is based on real numbers between 0 and 1, all generated offsprings also will be in this range and an infeasible situation does not occur (Tables 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