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Optimizing Optimization: Hyper-Heuristic Approaches for Generating Perturbative Operators through Operator Chaining

dc.rights.licenseCC-BY-NC-ND
dc.contributorJohan Van Rooij, Han Hoogeveen, Pepijn Wissing, Arjen Sijtsma
dc.contributor.advisorRooij, Johan van
dc.contributor.authorBlom, Catalina
dc.date.accessioned2024-11-30T00:01:20Z
dc.date.available2024-11-30T00:01:20Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/48181
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectAn exploration of different mining-based and tree search hyper-heuristic approaches for the generation of perturbative operators for the Simulated Annealing heuristic applied to the Trapdoor Problem.
dc.titleOptimizing Optimization: Hyper-Heuristic Approaches for Generating Perturbative Operators through Operator Chaining
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuComputing Science
dc.thesis.id38039


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