Otolaryngology Online Journal

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Review Article - Otolaryngology Online Journal (2017) Volume 7, Issue 2

Improved Ant Colony Algorithms for Multi-agent Path Planning in Web3D Environment

The path planning in 3D large-scale scenes is a hard problem. Especially, there are many multi-agents searching their optimal paths in a complex and large-scale 3D scene. This paper improves two kinds of ant colony algorithms and a leader idea to solve the problem. Firstly, an improved 2D ant colony algorithm for flat path planning is proposed. It is a method based on direction to choice a point as the next step point to make path planning precision. Secondly, a classic 3D ant colony algorithm is improved for mountain terrain path planning. We put forward a concept of vertebral visual area, which accelerates the speed of path finding in looking for the next node locked area. At last, a leader idea was given for multi-agent path planning when soldiers are marching in a mountain. And in every improved method, an experiment was done which displayed that the convergence is fast, and the path planning results are efficient, real time and precise.

Author(s): Fengting Yan

Abstract Full Text PDF