Feature-based search space characterisation for data-driven adaptive operator selection
Mehmet Emin Aydin,
Rafet Durgut,
Abdur Rakib
et al.
Abstract:Combinatorial optimisation problems are known as unpredictable and challenging due to their nature and complexity. One way to reduce the unpredictability of such problems is to identify features and the characteristics that can be utilised to guide the search using domain-knowledge and act accordingly. Many problem solving algorithms use multiple complementary operators in patterns to handle such unpredictable cases. A well-characterised search space may help to evaluate the problem states better and select/ap… Show more
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