Performance comparison of selection hyper-heuristics on new HyFlex domains
Almutairi, Alhanof Khalid S (2015) Performance comparison of selection hyper-heuristics on new HyFlex domains. [Dissertation (University of Nottingham only)]
Since most real-world computational problems are difficult to solve, significant attention has been drawn to design an automatic mechanism for selecting heuristics and increasing the generality of the search approach. Hyper-heuristics are high-level search mechanisms which aim to solve a range of difficult combinatorial optimisation problems by operating in the space of heuristics rather than space of solutions, which differs from the traditional approach. Hyper-heuristics are classified into two main categories: generation and selection methodologies. This study concentrates on the second methodology.
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