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51 lines
1.8 KiB
51 lines
1.8 KiB
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
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# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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using Test
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using MIPLearn
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using CPLEX
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using Gurobi
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@testset "Instance" begin
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weights = [23., 26., 20., 18.]
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prices = [505., 352., 458., 220.]
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capacity = 67.0
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instance = KnapsackInstance(weights, prices, capacity)
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filename = tempname()
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dump(instance, filename)
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instance = KnapsackInstance([0.0], [0.0], 0.0)
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load!(instance, filename)
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@test instance.data.weights == weights
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@test instance.data.prices == prices
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@test instance.data.capacity == capacity
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end
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@testset "LearningSolver" begin
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for optimizer in [CPLEX.Optimizer, Gurobi.Optimizer]
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instance = KnapsackInstance([23., 26., 20., 18.],
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[505., 352., 458., 220.],
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67.0)
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solver = LearningSolver(optimizer=optimizer,
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mode="heuristic",
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time_limit=90)
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stats = solve!(solver, instance)
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@test instance.solution["x"]["1"] == 1.0
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@test instance.solution["x"]["2"] == 0.0
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@test instance.solution["x"]["3"] == 1.0
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@test instance.solution["x"]["4"] == 1.0
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@test instance.lower_bound == 1183.0
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@test instance.upper_bound == 1183.0
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@test round(instance.lp_solution["x"]["1"], digits=3) == 1.000
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@test round(instance.lp_solution["x"]["2"], digits=3) == 0.923
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@test round(instance.lp_solution["x"]["3"], digits=3) == 1.000
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@test round(instance.lp_solution["x"]["4"], digits=3) == 0.000
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@test round(instance.lp_value, digits=3) == 1287.923
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fit!(solver, [instance])
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solve!(solver, instance)
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end
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end |