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dc.contributor.authorHolland, Jane
dc.contributor.authorGriffith, Josephine
dc.contributor.authorO'Riordan, Colm
dc.identifier.citationHolland, Jane, Griffith, Josephine , & O'Riordan, Colm (2018). Evolving collective behaviours in simulated kilobots. Paper presented at the 33rd Annual ACM Symposium on Applied Computing (SAC), Pau, France, 09-13 April.en_IE
dc.description.abstractThe field of Evolutionary Robotics has multiple common tasks and widely used benchmark activities such as navigation, obstacle avoidance, and phototaxis. We present an evolutionary approach to learning behaviours that demonstrate emergent collective phototaxis in a swarm of simulated robots. Our approach demonstrates that evolutionary computation can be used to evolve the emergent, self-organising behaviours of clustering and phototaxis in a population of simulated robots where the robots possess limited capabilities. In addition to demonstrating the feasibility of the approach, we show that the evolved behaviours are also robust to noise and flexible in changing environments.en_IE
dc.description.sponsorshipe authors acknowledge the support of Ireland’s Higher Education Authority through the IT Investment Fund and ComputerDISC in the National University of Ireland, Galwayen_IE
dc.publisherAssociation for Computing Machineryen_IE
dc.relation.ispartofThe 33rd Annual ACM Symposium on Applied Computing (SAC)en
dc.subjectEvolutionary swarm roboticsen_IE
dc.subjectGenetic algorithmsen_IE
dc.subjectCollective behaviouren_IE
dc.titleEvolving collective behaviours in simulated kilobotsen_IE
dc.typeConference Paperen_IE
dc.contributor.funderHigher Education Authorityen_IE
dc.contributor.funderNational University of Ireland, Galwayen_IE
dc.local.contactJosephine Griffith, Dept. Of Information Technology, I.T. Building, Nui Galway. 3717 Email:

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