The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.
Maxime GasseQuentin CappartJonas CharfreitagLaurent CharlinDidier ChételatAntonia ChmielaJustin DumouchelleAmbros M. GleixnerAleksandr M. KazachkovElias B. KhalilPawel LichockiAndrea LodiMiles LubinChris J. MaddisonChristopher MorrisDimitri J. PapageorgiouAugustin ParjadisSebastian PokuttaAntoine ProuvostLara ScavuzzoGiulia ZarpellonLinxin YangmSha LaiAkang WangXiaodong LuoXiang ZhouHaohan HuangSheng Cheng ShaoYuanming ZhuDong ZhangTao QuanZixuan CaoYang XuZhewei HuangShuchang ZhouChen BinbinHe MingguiHao HaoZhang ZhiyuAn ZhiwuMao KunPublished in: CoRR (2022)
Keyphrases
- combinatorial optimization
- machine learning
- combinatorial optimization problems
- traveling salesman problem
- simulated annealing
- metaheuristic
- combinatorial problems
- optimization problems
- branch and bound
- maximum likelihood
- data mining
- machine learning methods
- mathematical programming
- feature selection
- branch and bound algorithm
- exact algorithms
- machine learning algorithms
- vehicle routing problem
- learning algorithm
- quadratic assignment problem
- hard combinatorial optimization problems
- computational intelligence
- learning tasks
- evolutionary algorithm
- search space
- decision trees
- tabu search
- graph theory
- information extraction
- pairwise