On the Application of Multi-objective Harmony Search Heuristics to the Predictive Deployment of Firefighting Aircrafts: a Realistic Case Study: A realistic case study

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dc.contributor.authorBilbao, Miren Nekane
dc.contributor.authorDel Ser, Javier
dc.contributor.authorSalcedo-Sanz, Sancho
dc.contributor.authorCasanova-Mateo, Carlos
dc.contributor.institutionIA
dc.date.issued2015
dc.descriptionPublisher Copyright: Copyright © 2015 Inderscience Enterprises Ltd.
dc.description.abstractThis manuscript focuses on the increasing frequency and scales of worldwide wildfires and the need for enhancing the effectiveness of firefighting resources. The scope is focused on optimally deploying firefighting aircrafts on aerodromes and airports existing over an area based on fire risk predictions. This scenario is formulated as a capacity-constrained multi-objective optimisation problem where the utility of the deployed resources with respect to fire forest risk predictions is to be maximised, and expenditures associated with the reallocation of aircrafts must be minimised. This formulation is further complemented by including the impact of the distance from the wildfire to water sources in the firefighting utility function. To efficiently tackle this problem a multi-objective harmony search solver is designed and tested in synthetically generated and real scenarios for the Iberian Peninsula. The results obtained pave the way towards the utilisation of this tool by decision makers when outlining their firefighting logistics.en
dc.description.statusPeer reviewed
dc.format.extent15
dc.format.extent2994216
dc.identifier.citationBilbao , M N , Del Ser , J , Salcedo-Sanz , S & Casanova-Mateo , C 2015 , ' On the Application of Multi-objective Harmony Search Heuristics to the Predictive Deployment of Firefighting Aircrafts: a Realistic Case Study : A realistic case study ' , unknown , vol. unknown , no. 5 , pp. 270-284 . https://doi.org/10.1504/IJBIC.2015.072257
dc.identifier.doi10.1504/IJBIC.2015.072257
dc.identifier.otherresearchoutputwizard: 11556/231
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84945187770&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofunknown
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsforest fires
dc.subject.keywordsforest weather index FWI
dc.subject.keywordsharmony search
dc.subject.keywordscapacity-constrained multi-objective optimisation
dc.subject.keywordsresource deployment
dc.subject.keywordsfirefighting logistics
dc.subject.keywordsforest fires
dc.subject.keywordsforest weather index FWI
dc.subject.keywordsharmony search
dc.subject.keywordscapacity-constrained multi-objective optimisation
dc.subject.keywordsresource deployment
dc.subject.keywordsfirefighting logistics
dc.subject.keywordsFire forest weather index
dc.subject.keywordsFirefighting resources
dc.subject.keywordsFWI
dc.subject.keywordsTheoretical Computer Science
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsFunding Info
dc.subject.keywordsThe authors would like to thank the Spanish Ministry of Science and Innovation for its partial support under projects ECO2010-22065-C03-02 and TEC2011-28250-C02-02.
dc.subject.keywordsThe authors would like to thank the Spanish Ministry of Science and Innovation for its partial support under projects ECO2010-22065-C03-02 and TEC2011-28250-C02-02.
dc.titleOn the Application of Multi-objective Harmony Search Heuristics to the Predictive Deployment of Firefighting Aircrafts: a Realistic Case Study: A realistic case studyen
dc.typejournal article
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