A path finding simulation model for human crowd using agent based ant colony optimization

• 主要作者: Tin Htet Kyaw @ Jame Ng.
• 其他作者: School of Computer Engineering
• 格式: Final Year Project
• 語言: English
• 出版: 2011
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
• 在線閱讀: http://hdl.handle.net/10356/44668

Ant Colony Optimization (ACO) is a popular meta-heuristic used to solve NP problems such as TSP and is popular in areas such as Robotic. This paper will study the feasibility of using ACO to plan a path for human crowd simulation. The idea here is not to find only optimal paths, but to find suitable...