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dc.contributor.authorCotta-Porras, Carlos 
dc.contributor.authorGallardo-Ruiz, José Enrique 
dc.date.accessioned2024-05-29T10:28:04Z
dc.date.available2024-05-29T10:28:04Z
dc.date.issued2024
dc.identifier.citationCotta, C., Gallardo, J.E. (2024). Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments. In: Smith, S., Correia, J., Cintrano, C. (eds) Applications of Evolutionary Computation. EvoApplications 2024. Lecture Notes in Computer Science, vol 14634. Springer, Cham. https://doi.org/10.1007/978-3-031-56852-7_13es_ES
dc.identifier.urihttps://hdl.handle.net/10630/31431
dc.descriptionPolítica de acceso abierto tomada de: https://www.springernature.com/gp/open-research/policies/book-policieses_ES
dc.description.abstractThe problem of finding the optimal placement of emergency exits in an indoor environment to facilitate the rapid and orderly evacuation of crowds is addressed in this work. A cellular-automaton model is used to simulate the behavior of pedestrians in such scenarios, taking into account factors such as the environment, the pedestrians themselves, and the interactions among them. A metric is proposed to determine how successful or satisfactory an evacuation was. Subsequently, two metaheuristic algorithms, namely an iterated greedy heuristic and an evolutionary algorithm (EA) are proposed to solve the optimization problem. A comparative analysis shows that the proposed EA is able to find effective solutions for different scenarios, and that an island-based version of it outperforms the other two algorithms in terms of solution quality.es_ES
dc.description.sponsorshipSpanish Ministry of Science and Innovation under project Bio4Res (PID2021-125184NB-I00 - http://bio4res.lcc.uma.es) and by Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.subjectAlgoritmos evolutivoses_ES
dc.subject.otherPedestrian Evacuationes_ES
dc.subject.otherCellular Automataes_ES
dc.subject.otherGreedy Heuristicses_ES
dc.subject.otherEvolutionary Algorithmses_ES
dc.titleEvolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments.es_ES
dc.typeconference outputes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitle27th International Conference on the Applications of Evolutionary Computation
dc.relation.eventplaceAberystwyth (Reino Unido)
dc.relation.eventdate03/04/2024
dc.identifier.doi10.1007/978-3-031-56852-7_13
dc.type.hasVersionSMURes_ES
dc.departamentoInstituto de Tecnología e Ingeniería del Software de la Universidad de Málaga
dc.rights.accessRightsopen accesses_ES


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