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https://github.com/ANL-CEEESA/MIPLearn.jl.git
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FisSal2011: Add multiple variants
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@@ -267,13 +267,32 @@ end
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function collect_gmi_FisSal2011(
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mps_filename;
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optimizer,
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max_rounds = 10_000,
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max_cuts_per_round = 1_000_000,
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time_limit = 900,
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print_interval_sec=1,
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time_limit = 3_600,
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interval_print_sec=0.1,
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silent_solver=true,
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max_pool_size_mb = 1024,
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variant = :fast,
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)
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variant in [:subg, :hybr, :fast, :faster] || error("unknown variant: $variant")
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if variant == :subg
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max_rounds = 10_000
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interval_large_lp = 10_000
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interval_read_tableau = 10
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elseif variant == :hybr
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max_rounds = 10_000
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interval_large_lp = 1_000
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interval_read_tableau = 10
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elseif variant == :fast
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max_rounds = 1_000
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interval_large_lp = 100
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interval_read_tableau = 1
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elseif variant == :faster
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max_rounds = 500
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interval_large_lp = 50
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interval_read_tableau = 1
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end
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reset_timer!()
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initial_time = time()
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@@ -307,7 +326,7 @@ function collect_gmi_FisSal2011(
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pool_cut_age = nothing
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pool_cut_hashes = Set{UInt64}()
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pool_size_mb = 0
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λ = 0
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λ, Δ = 0, 0
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μ = 10
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end
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@@ -350,6 +369,8 @@ function collect_gmi_FisSal2011(
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@info "Standard form model has $(length(data.var_lb)) vars, $(length(data.constr_lb)) constrs"
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for round = 1:max_rounds
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should_print_log = false
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if round > 1
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@timeit "Update objective function" begin
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# Build Lagrangian term
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@@ -395,33 +416,41 @@ function collect_gmi_FisSal2011(
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error("Non-optimal termination status")
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end
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Δ = obj_mip - obj_best
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if obj_curr < obj_best - Δ
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count_deterioration += 1
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else
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count_deterioration = 0
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end
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if count_deterioration >= 10
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μ *= 0.5
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multipliers_curr = multipliers_best
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count_deterioration = 0
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count_backtrack += 1
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elseif length(obj_hist) >= 100
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obj_hist_avg = mean(obj_hist)
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improv = obj_best - obj_hist[1]
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if improv < 0.01 * Δ
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if obj_best - obj_hist_avg < 0.001 * Δ
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μ = 10 * μ
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elseif obj_best - obj_hist_avg < 0.01 * Δ
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μ = 2 * μ
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@timeit "Update μ" begin
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if variant in [:subg, :hybr]
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Δ = obj_mip - obj_best
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if obj_curr < obj_best - Δ
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count_deterioration += 1
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else
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μ = 0.5 * μ
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count_deterioration = 0
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end
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if count_deterioration >= 10
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μ *= 0.5
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multipliers_curr = multipliers_best
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count_deterioration = 0
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count_backtrack += 1
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elseif length(obj_hist) >= 100
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obj_hist_avg = mean(obj_hist)
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improv = obj_best - obj_hist[1]
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if improv < 0.01 * Δ
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if obj_best - obj_hist_avg < 0.001 * Δ
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μ = 10 * μ
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elseif obj_best - obj_hist_avg < 0.01 * Δ
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μ = 2 * μ
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else
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μ = 0.5 * μ
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end
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end
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end
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elseif variant in [:fast, :faster]
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μ = 0.01
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else
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error("not implemented")
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end
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end
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end
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if mod(round, 10) == 1
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if mod(round - 1, interval_read_tableau) == 0
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@timeit "Select tableau rows" begin
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basis = get_basis(model_s)
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basis_hash = hash(basis)
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@@ -481,7 +510,8 @@ function collect_gmi_FisSal2011(
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end
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end
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if mod(round, 1000) == 1 || round == max_rounds
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if mod(round - 1, interval_large_lp) == 0 || round == max_rounds
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should_print_log = true
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@timeit "Update multipliers (large LP)" begin
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selected_idx = []
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selected_contrs = []
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@@ -601,7 +631,11 @@ function collect_gmi_FisSal2011(
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)
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end
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if time() - last_print_time > print_interval_sec
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if time() - last_print_time > interval_print_sec
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should_print_log = true
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end
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if should_print_log
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last_print_time = time()
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@printf(
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"%8d %10.3e %9.2e %9.2e %9d %9.2f %9d %4d %8.2e %8.2e %8.2e\n",
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