From 7bee0bd36ea66500b33a931ecbf677d70e495ea4 Mon Sep 17 00:00:00 2001 From: Oscar Dowson Date: Sat, 17 Jan 2026 12:03:28 +1300 Subject: [PATCH] Update README link for the list of JuMP tutorials --- README.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 084cc09..d9e7633 100644 --- a/README.md +++ b/README.md @@ -46,13 +46,12 @@ single-objective instance of your optimization problem. You may set additional optimizer attributes, the supported attributes depend on the choice of solution algorithm. -Documentation is available in the JuMP documentation. There are sections on -[setting a vector-valued objective](https://jump.dev/JuMP.jl/stable/manual/objective/#Set-a-vector-valued-objective) +## Documentation + +Documentation is available in the JuMP documentation. There are sections in +the manual on [setting a vector-valued objective](https://jump.dev/JuMP.jl/stable/manual/objective/#Set-a-vector-valued-objective) and [working with multiple solutions](https://jump.dev/JuMP.jl/stable/manual/solutions/#Multiple-solutions). -For worked examples, see the [Simple multi-objective examples](https://jump.dev/JuMP.jl/stable/tutorials/linear/multi_objective_examples/) -tutorial in the JuMP documentation. A larger example is the -[Multi-objective knapsack](https://jump.dev/JuMP.jl/stable/tutorials/linear/multi_objective_knapsack/) -tutorial, which also includes code for plotting the solutions. +See also the [list of tutorials that use MOA](https://jump.dev/JuMP.jl/stable/tutorials/overview/#tutorial_MultiObjectiveAlgorithms). ## Algorithm