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Alleviating Escape Panic Using Evolutionary Intelligence


Metadata FieldValueLanguage
dc.contributor.advisorDozier, Gerry
dc.contributor.advisorGilbert, Juanen_US
dc.contributor.advisorHamilton, Johnen_US
dc.contributor.authorDarnell, Shelbyen_US
dc.date.accessioned2008-09-09T21:18:47Z
dc.date.available2008-09-09T21:18:47Z
dc.date.issued2006-05-15en_US
dc.identifier.urihttp://hdl.handle.net/10415/495
dc.description.abstractReducing damage, danger, and panic by evolving room designs is possible with artificial intelligence. Escape panic, brought on by groups of people being in a life-threatening situation, increases the fatality rate and level of property damage incurred during unfortunate disasters. Currently buildings are designed to a code that tells how many exits a room should possess, but the code doesn't specify where to place the doors and exactly how many doors there should be in room designs to help alleviate damages to people and property. A genetic algorithm and particle swarm optimizer will be used to find a room design to help alleviate this problem.en_US
dc.language.isoen_USen_US
dc.subjectComputer Science and Software Engineeringen_US
dc.titleAlleviating Escape Panic Using Evolutionary Intelligenceen_US
dc.typeProjecten_US
dc.embargo.lengthNO_RESTRICTIONen_US
dc.embargo.statusNOT_EMBARGOEDen_US

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