Bird colony behavior based multi-agent model design and simulation

Multi-agent modeling and system theory research has made significant strides forward, in areas as diverse as natural ecosystems, engineering systems and autonomous technologies. This research seeks to delve into the fascinating world of multi-agent models and algorithms, specifically with respect to...

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Main Author: Liu, Jia Xun
Other Authors: Hu Guoqiang
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175525
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1755252024-04-26T16:01:10Z Bird colony behavior based multi-agent model design and simulation Liu, Jia Xun Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering Multi-agent system Bird population Boids Bird swarm algorithm Multi-agent modeling and system theory research has made significant strides forward, in areas as diverse as natural ecosystems, engineering systems and autonomous technologies. This research seeks to delve into the fascinating world of multi-agent models and algorithms, specifically with respect to simulating bird group behavior for exploration purposes. This dissertation opens with an introduction to the history and development of multi-agent modeling, systems theory and collective behavior in natural systems. This dissertation describes the basic concept and advantages of multi-agent systems as well as providing a framework to model collective behavior. Second, by studying the behavior trajectories of birds and collecting and simulating data from natural systems as well as conducting experiments designed around these birds' behavior trajectories, an algorithm was implemented into Python for simulation and verification of this multi-agent model of their behaviour trajectories in Boids multiagent model. The application of bird swarm optimization algorithm to solve the optimization problem is emphasized. The basic principle and implementation method are introduced in detail. Experimental simulations are performed in Python to verify correctness. Overall, this research contributes to our knowledge about multi-agent models and algorithms, illustrates their beauty while simulating bird colony behavior, and showcases multi-agent systems' potential to offer insights and solutions in complex, dynamic environments. Master's degree 2024-04-26T08:05:12Z 2024-04-26T08:05:12Z 2024 Thesis-Master by Coursework Liu, J. X. (2024). Bird colony behavior based multi-agent model design and simulation. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175525 https://hdl.handle.net/10356/175525 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Multi-agent system
Bird population
Boids
Bird swarm algorithm
spellingShingle Engineering
Multi-agent system
Bird population
Boids
Bird swarm algorithm
Liu, Jia Xun
Bird colony behavior based multi-agent model design and simulation
description Multi-agent modeling and system theory research has made significant strides forward, in areas as diverse as natural ecosystems, engineering systems and autonomous technologies. This research seeks to delve into the fascinating world of multi-agent models and algorithms, specifically with respect to simulating bird group behavior for exploration purposes. This dissertation opens with an introduction to the history and development of multi-agent modeling, systems theory and collective behavior in natural systems. This dissertation describes the basic concept and advantages of multi-agent systems as well as providing a framework to model collective behavior. Second, by studying the behavior trajectories of birds and collecting and simulating data from natural systems as well as conducting experiments designed around these birds' behavior trajectories, an algorithm was implemented into Python for simulation and verification of this multi-agent model of their behaviour trajectories in Boids multiagent model. The application of bird swarm optimization algorithm to solve the optimization problem is emphasized. The basic principle and implementation method are introduced in detail. Experimental simulations are performed in Python to verify correctness. Overall, this research contributes to our knowledge about multi-agent models and algorithms, illustrates their beauty while simulating bird colony behavior, and showcases multi-agent systems' potential to offer insights and solutions in complex, dynamic environments.
author2 Hu Guoqiang
author_facet Hu Guoqiang
Liu, Jia Xun
format Thesis-Master by Coursework
author Liu, Jia Xun
author_sort Liu, Jia Xun
title Bird colony behavior based multi-agent model design and simulation
title_short Bird colony behavior based multi-agent model design and simulation
title_full Bird colony behavior based multi-agent model design and simulation
title_fullStr Bird colony behavior based multi-agent model design and simulation
title_full_unstemmed Bird colony behavior based multi-agent model design and simulation
title_sort bird colony behavior based multi-agent model design and simulation
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175525
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