JobShop Problem resolution (a shorter version, see Projecto-PP2014-2015-Alameda.pdf for more information ) using Artifial Intellence searches, namely, ILDS, Iterative Sampling and Local-Beam search. Local-Beam search was developed as this is an optimization problem - we are concerned with the solution, not the path that leads to it. This was choosen among the possible local searches for its simplicity. Other approaches, such as Simulated Annealing or Genetic Algorithms, may be a solution to the problem.
-
Notifications
You must be signed in to change notification settings - Fork 1
JobShop Problem resolution using search (ILDS, Iterative Sampling, ...)
License
antoniovilarinholopes/Lisp-Searches
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
JobShop Problem resolution using search (ILDS, Iterative Sampling, ...)
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published