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dc.contributor.advisorKofod-Petersen, Anders
dc.contributor.authorMoe, Kyrre Laugerud
dc.date.accessioned2017-06-19T14:00:26Z
dc.date.available2017-06-19T14:00:26Z
dc.date.created2016-12-31
dc.date.issued2016
dc.identifierntnudaim:14125
dc.identifier.urihttp://hdl.handle.net/11250/2446409
dc.description.abstractForaging is a canonical task for swarm intelligence systems. Traditionally thistask has been preformed by a swarm of homogeneous agents, often with the helpof pheromones for indirect communication. Some researcher have experimentedwith how heterogeneous agents can achieve this task. Yet little research exist,combining morphologically heterogeneous agents with pheromone based foragingalgorithms. This is confirmed thought a structured literature review. C-SAF is anexisting foraging algorithm employing homogeneous agents, communication viapheromones. In this thesis, morphologically heterogeneous agents are introducedand combined with the core mechanics of C-SAF to creating a new algorithm,dubbed H-CAF. H-CAF is compared with C-SAF across different scenarios, usingwell established performance metrics from the literature.
dc.languageeng
dc.publisherNTNU
dc.subjectInformatikk, Kunstig intelligens
dc.titleThere and back again; Efficient foraging with heterogeneous Agents using Pheromones
dc.typeMaster thesis


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