文章基本信息

标题：Increasing Efficiency of Crowd Simulation Using Particle Swarm Optimization
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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.