SDMP is an optimization software package for solving sequential decision problems using approximate dynamic programming.
SDMP
is licensed under the MPL 2.0 license.
You can find the documentation at
English (ENG): https://swonh.gitbook.io/sdmp-user-manual-eng/
Korean (KOR): https://swonh.gitbook.io/sdmp-user-manual-kor/
OS: Windows 10
or higher
IDE: Visual Studio 2019
or higher
To use SDMP
, you must first install it.
Download latest version: SDMP-2.0.1-win64.zip
Note Run the Install.bat file, and it will install automatically. (Do not run any other files.)
If you need help, please open a GitHub issue.
We welcome collaborators! If you want to work with us to improve and expand our software, please contact us! (You can also submit a pull request directly.)
Contact: swonhong.github@gmail.com
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korean Government under Grant 2021R1A2C2005531.
Related Publication:
Accelerated Dynamic Programming Algorithms for a Car Resequencing Problem in Automotive Paint Shops
Sungwon Hong, Jinyoung Choi, Jinil Han, Kyungsik Lee
Applied Mathematical Modeling, 64, 285–297, 2018.
https://doi.org/10.1016/j.apm.2018.07.035