vOptSolver is a solver of multiobjective linear optimization problems (MOMIP, MOLP, MOIP, MOCO). This repository concerns vOptSpecific, the part of vOptSolver devoted to multiobjective structured problems (currently available: 2LAP, 2OSP, 2UKP, 2UMFLP). With vOptSpecific, the problem is expressed using an Application Programming Interface. vOptSpecific runs on macOS (a C/C++ compiler has to be available on your computer), and linux-ubuntu.
This package is not provided to be installed on Windows. If you want use vOptSpecific on Windows, a C/C++ compiler has to be available on your computer, you have to compile manually the C/C++ codes as shared libraries, and to install the resulting files in the ad-hoc folder.
We suppose you are familiar with vOptSolver; if not, read first this presentation.
vOptSpecific calls C/C++ codes through julia wrappers. Compilation, configuration, and installation are done automatically when the package is added to your own julia environment. These steps require none action from the user. However, some issues with the C/C++ compilation scripts on the latest versions of macOS and Linux have been reported to us recently. You may have to manually compile codes with commands set in the scripts and install the resulting shared libraries in the ad hoc folders for executing vOptSpecific. Sorry for these inconveniences. Problem fixed (24-07-2021).
For an use, a working version of:
- Julia must be ready; instructions for the installation are available here
- your favorite C/C++ compiler must be ready (GCC is suggested)
On macOS:
- locate the application
juliaand - click on the icon, the julia console comes to the screen
On linux:
- open a console on your computer or in the cloud
- when the prompt is ready, type in the console
julia
Before your first use,
- run Julia and when the terminal is ready with the prompt
juliaon screen, - add and build as follow the mandatory package to your Julia distribution:
julia> using Pkg
julia> Pkg.add("vOptSpecific")
That's all folk; at this point, vOptSpecific is properly installed.
When vOptSpecific is properly installed,
- run Julia and when the terminal is ready with the prompt
juliaon screen, - invoke vOptSpecific in typing in the console:
julia> using vOptSpecific
vOptSpecific is ready. See examples for further informations and have fun with the solver!
| Problem | Description | API | src | Reference |
|---|---|---|---|---|
| LAP | Linear Assignment Problem | 2LAP2008 | C | Przybylski2008 |
| OSP | One machine Scheduling Problem | 2OSP1980 | Julia | Wassenhove1980 |
| UKP | 01 Unidimensional knapsack problem | 2UKP2010 | Julia + C | Jorge2010 |
| UMFLP | Uncapacitated Mixed variables Facility Location Problem | 2UMFLP2016 | C++ | Delmee2017 |
The folder examples provides (1) source code of problems ready to be solved and (2) selected datafiles into different formats.
- The problem size for 2LAP is limited to 100x100.
Tested the
- 22-Jul-2021
with
- Julia 1.6.2
on
- macOS 11.4 (Big Sur)
- Linux ubuntu 18.04.5 LTS