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Update README (#57)
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README.md

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<img src="moa.png" alt="An image of the Moa bird. Licensed into the Public Domain by https://freesvg.org/moa" width="100px"/>
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<img src="https://raw.githubusercontent.com/jump-dev/MultiObjectiveAlgorithms.jl/master/moa.png" alt="An image of the Moa bird. Licensed into the Public Domain by https://freesvg.org/moa" width="100px"/>
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# MultiObjectiveAlgorithms.jl
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[![Build Status](https://github.com/jump-dev/MultiObjectiveAlgorithms.jl/workflows/CI/badge.svg?branch=master)](https://github.com/jump-dev/MultiObjectiveAlgorithms.jl/actions?query=workflow%3ACI)
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[![codecov](https://codecov.io/gh/jump-dev/MultiObjectiveAlgorithms.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/jump-dev/MultiObjectiveAlgorithms.jl)
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MultiObjectiveAlgorithms.jl (MOA) is a collection of algorithms for
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multi-objective optimization.
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[MultiObjectiveAlgorithms.jl](https://github.com/jump-dev/MultiObjectiveAlgorithms.jl)
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(MOA) is a collection of algorithms for multi-objective optimization.
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## License
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`MultiObjectiveAlgorithms.jl` is licensed under the [MPL 2.0 License](https://github.com/jump-dev/MultiObjectiveAlgorithms.jl/blob/master/LICENSE.md).
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## Installation
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Install MOA using `Pkg.add`:
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```julia
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import Pkg; Pkg.add("MultiObjectiveAlgorithms")
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import Pkg
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Pkg.add("MultiObjectiveAlgorithms")
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```
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## Usage with JuMP
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**Compat: this requires at least JuMP v1.8.0**
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## Use with JuMP
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Use `MultiObjectiveAlgorithms` with JuMP as follows:
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import HiGHS
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import MultiObjectiveAlgorithms as MOA
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model = JuMP.Model(() -> MOA.Optimizer(HiGHS.Optimizer))
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set_optimizer_attribute(model, MOA.Algorithm(), MOA.Dichotomy())
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set_optimizer_attribute(model, MOA.SolutionLimit(), 4)
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set_attribute(model, MOA.Algorithm(), MOA.Dichotomy())
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set_attribute(model, MOA.SolutionLimit(), 4)
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```
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Replace `HiGHS.Optimizer` with an optimizer capable of solving a

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