Your English writing platform
Discover LudwigExact(14)
K-ILS additionally employs two new path-based move operators to generate neighboring solutions.
Furthermore, the solution space and the relationship between neighboring solutions is very scattered.
The tabu list task helps the algorithm to visit more new neighboring solutions.
Among the neighboring solutions, the one having largest overall improvement is selected, and replaces the current solution.
The main difficulty lies in evaluating neighboring solutions, which involves decisions related to location of machinery and to road network arcs.
A TS-based self-adaptive neighborhood strategy is adopted to impart to the TABC algorithm a learning ability for producing neighboring solutions in different promising regions.
Similar(46)
N3: where neighboring solution (x') of the solution x is obtained by modifying three bits simultaneously.
The neighboring solution (x') of the solution x is obtained by modifying one bit.
N4: where neighboring solution (x') of the solution x is obtained by modifying randomly one bit.
If there is no neighboring solution, DA can be modeled through random walk.
Let (F_mathrm{{C}}) represents the fitness value of the current solution, and (F_mathrm{{N}}) denotes the fitness value of the neighboring solution.
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