MultiObjectiveAlgorithms.jl (MOA) is a collection of algorithms for multi-objective optimization.
MultiObjectiveAlgorithms.jl is licensed under the MPL 2.0 License.
Install MOA using
import Pkg Pkg.add("MultiObjectiveAlgorithms")
Use with JuMP
MultiObjectiveAlgorithms with JuMP as follows:
using JuMP import HiGHS import MultiObjectiveAlgorithms as MOA model = JuMP.Model(() -> MOA.Optimizer(HiGHS.Optimizer)) set_attribute(model, MOA.Algorithm(), MOA.Dichotomy()) set_attribute(model, MOA.SolutionLimit(), 4)
HiGHS.Optimizer with an optimizer capable of solving a single-objective instance of your optimization problem.
You may set additional optimizer attributes, the supported attributes depend on the choice of solution algorithm.
Set the algorithm using the
The value must be one of the algorithms supported by MOA:
Consult their docstrings for details.
Other optimizer attributes
There are a number of optimizer attributes supported by the algorithms in MOA.
Each algorithm supports only a subset of the attributes. Consult the algorithm's docstring for details on which attributes it supports, and how it uses them in the solution process.