Automated algorithm design using proximal policy optimisation with identified features
Abstract: Highlights•Two groups of features are identified to describe search space of algorithm design.•PPO is employed to extract useful knowledge hidden in the search data.•The influence of state representation (with different features) is investigated.•The utilisation and transition of algorithmic components are analysed.
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