diff --git a/src/ADRIA.jl b/src/ADRIA.jl
index 1890c4721..7fa4b5579 100644
--- a/src/ADRIA.jl
+++ b/src/ADRIA.jl
@@ -33,7 +33,6 @@ include("ecosystem/corals/spec.jl")
 include("ecosystem/const_params.jl")
 
 include("Domain.jl")
-include("ExtInterface/ADRIA/Domain.jl")
 
 include("io/inputs.jl")
 
@@ -55,6 +54,7 @@ include("optimization.jl")
 include("analysis/analysis.jl")
 include("analysis/sensitivity.jl")
 
+include("ExtInterface/ADRIA/Domain.jl")
 include("ExtInterface/ReefMod/Domain.jl")
 include("ExtInterface/ReefMod/scenarios.jl")
 
diff --git a/src/ecosystem/Ecosystem.jl b/src/ecosystem/Ecosystem.jl
index 03868998c..da2d51fb4 100644
--- a/src/ecosystem/Ecosystem.jl
+++ b/src/ecosystem/Ecosystem.jl
@@ -45,7 +45,7 @@ Base.@kwdef struct Intervention{N,P,P2} <: EcoModel
     # Integer values have a +1 offset to allow for discrete value mapping
     # (see `set()` and `map_to_discrete()` methods)
     # Bounds are defined as floats to maintain type stability
-    guided::N = Param(0, ptype="integer", bounds=(-1.0, 21.0 + 1.0), dists="unif",
+    guided::N = Param(0, ptype="integer", bounds=(-1.0, length(methods_mcda) + 1.0), dists="unif",
         name="Guided", description="Choice of MCDA approach.")
     seed_TA::N = Param(0, ptype="integer", bounds=(0.0, 1000000.0 + 1.0), dists="unif",
         name="Seeded Tabular Acropora", description="Number of enhanced Tabular Acropora to seed per deployment year.")
diff --git a/src/sites/dMCDA.jl b/src/sites/dMCDA.jl
index be94a07d2..8d6fe6d79 100644
--- a/src/sites/dMCDA.jl
+++ b/src/sites/dMCDA.jl
@@ -8,6 +8,25 @@ using InteractiveUtils: subtypes
 using ADRIA: order_ranking, adria_vikor, adria_topsis
 
 
+jmcdm_ignore = [
+    JMcDM.CRITIC.CriticMethod,
+    JMcDM.COPRAS.CoprasMethod,
+    JMcDM.MOOSRA.MoosraMethod,
+    JMcDM.MEREC.MERECMethod,
+    JMcDM.ELECTRE.ElectreMethod,
+    JMcDM.PROMETHEE.PrometheeMethod,
+    JMcDM.Topsis.TopsisMethod,
+    JMcDM.VIKOR.VikorMethod
+]
+
+const jmcdm_methods = subtypes(MCDMMethod)
+const methods_mcda = [
+    order_ranking,
+    adria_vikor,
+    adria_topsis,
+    setdiff(jmcdm_methods, jmcdm_ignore)...
+]
+
 struct DMCDA_vars  # {V, I, F, M} where V <: Vector
     site_ids  # ::V
     n_site_int  # ::I
@@ -41,22 +60,6 @@ struct DMCDA_vars  # {V, I, F, M} where V <: Vector
     wt_zones_shade # ::F
 end
 
-const jmcdm_methods = subtypes(MCDMMethod)
-
-jmcdm_ignore = [
-    JMcDM.CRITIC.CriticMethod,
-    JMcDM.MOOSRA.MoosraMethod,
-    JMcDM.MEREC.MERECMethod,
-    JMcDM.ELECTRE.ElectreMethod,
-    JMcDM.PROMETHEE.PrometheeMethod
-]
-
-const methods_mcda = [
-    order_ranking,
-    adria_vikor,
-    adria_topsis,
-    setdiff(jmcdm_methods, jmcdm_ignore)...
-]
 
 """
     DMCDA_vars(domain::Domain, criteria::NamedDimsArray,
@@ -226,7 +229,7 @@ end
 function retrieve_ranks(S::Matrix, site_ids::Vector, weights::Vector{Float64}, mcda_func::Type{<:MCDMMethod})
     fns = fill(maximum, length(weights))
     results = mcdm(MCDMSetting(S, weights, fns), mcda_func())
-    maximize = results.bestIndex == findall(results.scores .== maximum(results.scores))[1]
+    maximize = results.bestIndex == argmax(results.scores)
 
     return retrieve_ranks(S, site_ids, results.scores, maximize)
 end