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dc.contributor.authorLlorente García, Ignacio es_ES
dc.contributor.authorLuna Sotorrío, Ladislao es_ES
dc.contributor.authorFernández Polanco, José Manuel es_ES
dc.contributor.authorOdriozola Zamanillo, María Dolores es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2017-03-07T10:28:40Z
dc.date.available2017-03-07T10:28:40Z
dc.date.issued2014es_ES
dc.identifier.issn1540-8906es_ES
dc.identifier.urihttp://hdl.handle.net/10902/10496
dc.description.abstractAquaculture managers must regularly make decisions that affect efficiency, competitiveness and economic performance. Although qualified managers can make excellent decisions, human nature potentially limits their results. To overcome this limitation when evaluating all possible strategies for maximized performance, firms can apply optimization tools. For example, a particle swarm optimization algorithm can be implemented to assist in determining strategies that maximize gross margins and minimize operational risk in both day-to-day and longer-term strategic decisions.es_ES
dc.format.extent2 p.es_ES
dc.language.isoenges_ES
dc.publisherGlobal Aquaculture Alliancees_ES
dc.rights© Global Aquaculture Alliancees_ES
dc.sourceGlobal aquaculture advocate, september/october 2014es_ES
dc.titleOperational Risk Management Tool Applied To Offshore Aquaculture.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.versionpublishedVersiones_ES


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