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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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