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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/75054

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75054

Title:	An Evolutionary Approach to Crowd Simulation
Authors:	Li, Tsai-yen;Wang, Chih-Chien 李蔡彥
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 link:	http://dx.doi.org/10.1007/978-3-540-73424-6_14
DOI:	10.1007/978-3-540-73424-6_14
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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