Update README

Author: odow

papers/Dowson_et_al_2026/Project.toml

@@ -5,3 +5,11 @@ HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b"
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
 MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
 MultiObjectiveAlgorithms = "0327d340-17cd-11ea-3e99-2fd5d98cecda"
+
+[compat]
+DataFrames = "1"
+Gurobi = "1"
+HiGHS = "1"
+JuMP = "1"
+MathOptInterface = "1"
+MultiObjectiveAlgorithms = "1"

papers/Dowson_et_al_2026/README.md

@@ -1,5 +1,14 @@
 # MultiObjectiveAlgorithms.jl: a Julia pacakge for solving multi-objective optimization problems
 
-The code in this directory implements the numerical experiments contained in the
-paper [MultiObjectiveAlgorithms.jl: a Julia package for solving multi-objective optimization problems](https://doi.org/10.1287/ijoc.2025.1449)
+The code in this directory implements the numerical experiments contained
+Section 3 of the paper
+[MultiObjectiveAlgorithms.jl: a Julia package for solving multi-objective optimization problems](https://doi.org/10.1287/ijoc.2025.1449)
 by Oscar Dowson, Xavier Gandibleux, and Gökhan Kof.
+
+Run the benchmark as follows:
+```
+$ julia --project=. main.jl
+```
+
+The outputs we obtained are given in `results.log`. The output is summarized
+into `final_results.out`, which is Table 2 in the paper.