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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorLiu, Alison
dc.contributor.authorHugen, Max
dc.date.accessioned2025-08-15T00:03:55Z
dc.date.available2025-08-15T00:03:55Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/49753
dc.description.abstractThe FIREFIGHTER problem is a turn-based game on a graph in which a spreading fire must be contained by protecting vertices. We study the online variant, where each decision is made without knowledge of future events. While previous research has established an optimal 2-competitive algorithm for trees, we extend the analysis to cactus graphs. For this class, we present an O(√n)-competitive algorithm and prove, via a matching lower bound, that it is optimal. We then analyze a variant where an even number of firefighters is released each round (a multiple of the treewidth 2). We show that under this restriction the competitive ratio drops from O(√n) to a constant: a greedy algorithm is exactly 3-competitive.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThe FIREFIGHTER problem is a turn-based game on a graph in which a spreading fire must be contained by protecting vertices. We study the online variant, where each decision is made without knowledge of future events, on cactus graphs. For this class, we present an O(√n)-competitive algorithm and prove, via a matching lower bound, that it is optimal. We then show that in a variant where an even number of firefighters is released each round, the greedy algorithm is 2-competitive.
dc.titleOnline Firefighting on Cactus Graphs
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsOnline algorithms; FIREFIGHTER problem; graph algorithms; combinatorial optimization; competitive analysis
dc.subject.courseuuComputing Science
dc.thesis.id51685


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