An improved artificial fish cluster behavioral model and its simulation
Version 2 2025-01-15, 01:06Version 2 2025-01-15, 01:06
Version 1 2023-05-17, 21:33Version 1 2023-05-17, 21:33
journal contribution
posted on 2025-01-15, 01:06authored byH Yuan, S Huang, Y Chen
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.
History
Publication title
Applied Mechanics and Materials
Volume
433-435
Pagination
770-773
ISSN
1660-9336
Department/School
Information and Communication Technology
Publisher
Trans Tech Publications
Publication status
Published
Place of publication
Switzerland
Rights statement
Copyright 2013 Trans Tech Publications
Socio-economic Objectives
280115 Expanding knowledge in the information and computing sciences