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1690. Use of Julia/JuMP for Multi-objective optimization
Invited abstract in session MD-24: Tutorial: Use of Julia/JuMP for Multi-objective optimization, stream Tutorials (and Workshops).
Monday, 14:30-16:00Room: Esther Simpson 3.02
Authors (first author is the speaker)
| 1. | Xavier Gandibleux
|
| LS2N - UMR CNRS 6004, Nantes Université |
Abstract
vOptGeneric.jl is a JuMP extension package implemented in Julia for modeling and solving multi-objective linear optimization problems. It was created as part of the ANR/DFG research project vOpt (2015-2019).
Inspired by the lessons learned in vOptGeneric, we added first-class support for multi-objective optimization problems to JuMP and MathOptInterface. In addition, we developed a meta-solver, MultiObjectiveAlgorithms.jl (MOA), which implements a number of algorithms for solving multi-objective optimization problems. The new features and MOA were released in February, 2023. This talk introduces interactively JuMP and MultiObjectiveAlgorithms.
Keywords
- Programming, Multi-Objective
- Modeling Systems and Languages
- Algorithms
Status: accepted
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