Unit Instance

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        "METSlib is a metaheuristic modeling framework and optimization toolkit in C++.\n\nModel and algorithms are modular: any search algorithm can be applied to the same model. On the other hand, no assumption is made on the model, any problem type can be worked on: timetabling, assignment problems, vehicle routing, bin-packing and so on.\n\nOnce the model is implemented in the problem framework, the library allows testing of different Taboo Search strategies or even different algorithms (Simulated Annealing or other local search based algorithms) with a few lines of code."
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    "previous_source": "METSlib is a metaheuristic modeling framework and optimization toolkit in modern C++ released as Free/Libre/Open Source Software.\n\nModel and algorithms are modular: any search algorithm can be applied to the same model. On the other hand no assumption is made on the model, you can work on any problem type: timetabling, assignment problems, vehicle routing, bin-packing and so on.\n\nOnce you have implemented your model in the problem framework, the library makes easy testing different Tabu Search strategies or even different algorithms (Simulated Annealing or other local search based algorithms) with a few lines of code.",
    "target": [
        "METSlibはメタヒューリスティックモデリングフレームワークであり、ツールキットです。\n\nモデルとアルゴリズムはモジュール化されており、任意の検索アルゴリズムを同じモデルに適用できます。一方、モデル上では何の仮定も行われず、タイムテーブル作成、割り当て問題、車両ルーティング、梱包など、あらゆる種類の問題に取り組むことができます。\n\nモデルが問題フレームワークに実装されると、ライブラリは、数行のコードで、さまざまなタブー探索戦略や、さらにはさまざまなアルゴリズム(シミュレーテッドアニーリングやその他のローカル検索ベースのアルゴリズム)のテストを可能にします。"
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    "note": "tumbleweed/metslib/metslib-devel/description",
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    "timestamp": "2022-02-23T15:12:41.034419Z"
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