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An improved artificial fish cluster behavioral model and its simulation
Citation
Yuan, H and Huang, S and Chen, Y, An improved artificial fish cluster behavioral model and its simulation, Applied Mechanics and Materials, 433-435 pp. 770-773. ISSN 1660-9336 (2013) [Refereed Article]
Copyright Statement
Copyright 2013 Trans Tech Publications
DOI: doi:10.4028/www.scientific.net/AMM.433-435.770
Abstract
Biological cluster behavioral models rarely discuss about group cohesion issues at present, which makes biological colony susceptible to external environmental factors and leads to the group readily partitioning into multiple small groups. In order to enhance group cohesion and improve colony effect, the paper takes artificial fish as the research object and proposes a new model on artificial fish cluster behavior. This model is improved from standard self-propelled
particles model, utilizing topological distance to ensure surrounding neighbors and to restrain the cognitive level of artificial fish. Meanwhile, Sphere method based on bounding box is adopted to test collision and proposes a hybrid collision processing scheme that only applies to cluster behavior, aimed at avoiding the penetration phenomenon of artificial fish. Finally, Experiments
have been conducted. Results show that this model can simulate the cluster behavior of artificial fish precisely and make the group cohesion stronger. The proposed method is a feasible solution to the cluster model problem of cohesion.
Item Details
Item Type: | Refereed Article |
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Keywords: | artificial fish, cluster behavioral model, group cohesion, cognitive constraint, collision detection |
Research Division: | Information and Computing Sciences |
Research Group: | Artificial intelligence |
Research Field: | Artificial life and complex adaptive systems |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the information and computing sciences |
UTAS Author: | Chen, Y (Ms Ying Chen) |
ID Code: | 88353 |
Year Published: | 2013 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-01-29 |
Last Modified: | 2018-03-22 |
Downloads: | 0 |
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