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文章基本信息

  • 标题:Increasing Efficiency of Crowd Simulation Using Particle Swarm Optimization
  • 本地全文:下载
  • 作者:SARABJEET KAUR ; JYOTI RANI
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2013
  • 卷号:1
  • 期号:4
  • 出版社:S&S Publications
  • 摘要:This paper focus on engineering and computer science aspects of development, applications, andresources related to increase the efficiency of crowd simulation using Particle Swarm Optimization. This paper presentsthe idea of crowd simulation and uniform conceptual model based on Particle Swarm Optimization paradigm tosimulate crowd. Particle Swarm Optimization (PSO) is a technique used to explore the search space of a given problemto find the settings or parameters required to maximize a particular objective. This technique first described by JamesKennedy and Russell Eberhart in 1995. Finally, resources related to PSO are listed, including books, websites, andsoftware.
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