Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, Ying-yinen_US
dc.contributor.authorChen, Ying-pingen_US
dc.date.accessioned2014-12-08T15:09:09Z-
dc.date.available2014-12-08T15:09:09Z-
dc.date.issued2007en_US
dc.identifier.isbn978-1-4244-1339-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/6979-
dc.description.abstractThis paper presents a uniform conceptual model based on the particle swarm optimization (PSO) paradigm to simulate crowds in computer graphics. According to the mechanisms of PSO, each person (particle) in the crowd (swarm) can adopt the information to search a path from the initial position to the specified target (optimum) automatically. However, PSO aims to obtain the optimal solution, while the purpose of this study concentrates on the generated paths of particles. Hence, in order to generate appropriate paths of people in a crowd, we propose a method to employ the computational facilities provided in PSO. The proposed model is simple, uniform, and easy to implement. The results of simulations demonstrate that using PSO with the proposed technique can generate appropriate non-deterministic, non-colliding paths in several different scenarios, including static obstacles, moving targets, and multiple crowds.en_US
dc.language.isoen_USen_US
dc.titleCrowd control with swarm intelligenceen_US
dc.typeArticleen_US
dc.identifier.journal2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGSen_US
dc.citation.spage3321en_US
dc.citation.epage3328en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000256053702057-
Appears in Collections:Conferences Paper