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Flocking Simulation Using Quadtree Optimization Method
Ariq Dhia Irfanudin (a*), Sparisoma Viridi (b), Yudha Satya Perkasa (a)

a) System Modeling Laboratory, State Islamic University Sunan Gunung Djati Bandung
Jalan A. H. Nasution 105, Bandung 40614, Indonesia
*1157030004[at]student.uinsgd.ac.id
b) Nuclear and Biophysics Laboratory, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia


Abstract

The flocking phenomenon has been exploring in many points of view. In simulating a flocking, there are some models that capable describing it in a quantitive way such as the Vicsek model. In nature, Instead of a bird pay attention to all of the birds while doing flock, the bird only has to pay attention to the nearest-neighbor. It is costly during the simulation if a particle has to check its location relative to the whole of particles. Therefore, we serve an optimization method to handle it. There is quadtree, a tree data structure that will take a space then section it in four sections so on. This paper shows the approach by simulation of the large-scale flocking system to be more efficient.

Keywords: Flocking, Vicsek Modeling, Quadtree

Topic: Complex system modelling

Link: https://ifory.id/abstract/k7GjLyMDFmZQ

Conference: International Conference on Computation in Science and Engineering (ICCSE 2019)

Plain Format | Corresponding Author (Ariq Dhia Irfanudin)

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