Robust Optimization is a technique used to tackle uncertainty, alongside Stochastic Optimization and Fuzzy Optimization. The latter techniques have deficiencies that can be addressed by Robust Optimization. To apply R.O., only the bounds of the uncertain parameters are needed.
-
Notifications
You must be signed in to change notification settings - Fork 0
Robust Optimization is a technique used to tackle uncertainty, alongside Stochastic Optimization and Fuzzy Optimization. The latter techniques have deficiencies that can be addressed by Robust Optimization. To apply R.O., only the bounds of the uncertain parameters are needed.
License
alireza-bakhshifar/Robust-Optimization
About
Robust Optimization is a technique used to tackle uncertainty, alongside Stochastic Optimization and Fuzzy Optimization. The latter techniques have deficiencies that can be addressed by Robust Optimization. To apply R.O., only the bounds of the uncertain parameters are needed.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published