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Test if Metaheuristics tests simply need a higher iteration count for robustness #888

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18 changes: 9 additions & 9 deletions lib/OptimizationMetaheuristics/test/runtests.jl
Original file line number Diff line number Diff line change
Expand Up @@ -115,17 +115,17 @@ Random.seed!(42)
"Metaheuristics.Algorithm{CCMO{NSGA2}} for sphere" => [
1.6659983952552437, 4.731690734657798],
"Metaheuristics.Algorithm{MOEAD_DE} for sphere" => [
1.3118335977331483, 5.478715622895562],
0.989671094714782, 6.418963025927054],
"Metaheuristics.Algorithm{SMS_EMOA} for sphere" => [
0.5003293369817386, 7.837151299208113],
"Metaheuristics.Algorithm{NSGA2} for rastrigin" => [0.0, 12.0],
"Metaheuristics.Algorithm{NSGA3} for rastrigin" => [
9.754810555001253, 11.123569741993528],
7.597191334401674, 8.53603819834027],
"Metaheuristics.Algorithm{SPEA2} for rastrigin" => [0.0, 12.0],
"Metaheuristics.Algorithm{CCMO{NSGA2}} for rastrigin" => [
2.600961284360525, 3.4282466721631755],
"Metaheuristics.Algorithm{MOEAD_DE} for rastrigin" => [
2.4963842982482607, 10.377445766099369],
2.8812870528400936, 7.145617997943864],
"Metaheuristics.Algorithm{SMS_EMOA} for rastrigin" => [0.0, 12.0],
"Metaheuristics.Algorithm{NSGA2} for rosenbrock" => [
17.500214034475118, 586.5039366722865],
Expand All @@ -136,19 +136,19 @@ Random.seed!(42)
"Metaheuristics.Algorithm{CCMO{NSGA2}} for rosenbrock" => [
2.600961284360525, 3.4282466721631755],
"Metaheuristics.Algorithm{MOEAD_DE} for rosenbrock" => [
12.969698120217537, 642.4135236259822],
8.658481667869118, 644.4544222985385],
"Metaheuristics.Algorithm{SMS_EMOA} for rosenbrock" => [
61.6898556398449, 450.62433057243777],
"Metaheuristics.Algorithm{NSGA2} for ackley" => [
2.240787163704834, 5.990002878952371],
"Metaheuristics.Algorithm{NSGA3} for ackley" => [
3.408535107623966, 5.459538604033934],
2.186720100012558, 6.125797156949968],
"Metaheuristics.Algorithm{SPEA2} for ackley" => [
4.440892098500626e-16, 6.593599079287213],
"Metaheuristics.Algorithm{CCMO{NSGA2}} for ackley" => [
2.600961284360525, 3.4282466721631755],
"Metaheuristics.Algorithm{MOEAD_DE} for ackley" => [
4.440892098500626e-16, 6.593599079287213],
2.982885504039104, 5.052934325547806],
"Metaheuristics.Algorithm{SMS_EMOA} for ackley" => [
3.370770500897429, 5.510527199861947],
"Metaheuristics.Algorithm{NSGA2} for dtlz2" => [
Expand All @@ -172,7 +172,7 @@ Random.seed!(42)
"Metaheuristics.Algorithm{CCMO{NSGA2}} for schaffer_n2" => [
3.632401400816196e-17, 4.9294679997494206e-17],
"Metaheuristics.Algorithm{MOEAD_DE} for schaffer_n2" => [
2.50317097527324, 0.17460592430221922],
1.5886671796558842, 0.5469735282631156],
"Metaheuristics.Algorithm{SMS_EMOA} for schaffer_n2" => [
0.4978888767998813, 1.67543922644328]
)
Expand Down Expand Up @@ -201,7 +201,7 @@ Random.seed!(42)
options = Options(debug = false, iterations = 250)),
SMS_EMOA()
]

Random.seed!(42)
# Run tests for each problem and algorithm
for (prob_func, lb, ub) in problems
prob_name = string(prob_func)
Expand All @@ -213,7 +213,7 @@ Random.seed!(42)
if (alg_name == "Metaheuristics.Algorithm{CCMO{NSGA2}}")
sol = solve(prob, alg)
else
sol = solve(prob, alg; maxiters = 100, use_initial = true)
sol = solve(prob, alg; maxiters = 10000, use_initial = true)
end

# Tests
Expand Down
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