SWARM
Simulation Study on Searching for Food by Cooperation of Multi-Robots with Swarm Intelligence
Lan Wang, Qian Zhang, Nian‐Feng Wan
- Year
- 2007
- Citations
- 3
Abstract
In response to the disadvantages of the classical ant colony algorithm in path planning problem, an improved ant colony algorithm was proposed which combined classical algorithm with map-traveling strategy, to solve the problem that how multi-robots cooperated to search for food under the unknown environment. The thinking of method was explained, and the searching process was simulated and shown through animation. The simulation results show that the improved method is effective.
Keywords
Ant colony optimization algorithmsSwarm intelligenceRobotComputer scienceMotion planningAnt roboticsAnimationPath (computing)Artificial intelligenceSwarm behaviour
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