Wang, Han. “Swarm Intelligence simulating ant foraging behaviour.” (2010).
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In games and visual effects, it is needed to animate dynamically changing group behaviour However, it is tedious and time-consuming to manage the motion path or behaviour of each individual manually due to the large quantity. So using swarm intelligence to simulate group behaviour controlled by simple rules would be an effective way to solve the problem. This thesis illustrates the procedure of researching and implementing swarm intelligence based on pheromone which simulates ant foraging behaviour. The first section is demonstrating previous works of emergent behaviour Swarm intelligence flocking system and other related research of the subject is introduced. Software and works that use this technique is also discussed in the section. The second section is the technical background. Details of the algorithm is further explained such as how flocking system works, and algorithm that use pheromone in the research paper. The third section is design of the system, details of implementation, problems encountered and solutions to the problem. The forth section shows the result of the project. Different result with different parameter specified of the system is discussed in this section. The Fifth section states the conclusion, and discuss further work that can be put into consideration to improve the design, performance and usability.