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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/75054
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75054

    Title: An Evolutionary Approach to Crowd Simulation
    Authors: Li, Tsai-yen;Wang, Chih-Chien
    Contributors: 資科系
    Date: 2007
    Issue Date: 2015-05-08 16:07:08 (UTC+8)
    Abstract: In previous work, virtual force has been used to simulate the motions of virtual creatures, such as birds or fish, in a crowd. However, how to set up the virtual forces to achieve desired effects remains empirical. In this work, we propose to use a genetic algorithm to generate an optimal set of weighting parameters for composing virtual forces according to the given environment and desired movement behaviour. A list of measures for composing the fitness function is proposed.We have conducted experiments in simulation for several environments and behaviours, and the results show that compelling examples can be generated with the parameters found automatically in this approach.
    Relation: Studies in Computational Intelligence Volume 76, pp 119-126
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/978-3-540-73424-6_14
    DOI: 10.1007/978-3-540-73424-6_14
    Appears in Collections:[資訊科學系] 期刊論文

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