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26 lines
879 B
26 lines
879 B
# 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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from miplearn import LearningSolver
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from miplearn.problems.knapsack import KnapsackInstance
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def get_test_pyomo_instances():
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instances = [
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KnapsackInstance(
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weights=[23., 26., 20., 18.],
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prices=[505., 352., 458., 220.],
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capacity=67.,
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),
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KnapsackInstance(
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weights=[25., 30., 22., 18.],
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prices=[500., 365., 420., 150.],
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capacity=70.,
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),
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]
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models = [instance.to_model() for instance in instances]
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solver = LearningSolver()
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for i in range(len(instances)):
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solver.solve(instances[i], models[i])
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return instances, models
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