Underwater glider task allocation based on the ant colony algorithm
Shaoxuan Ren, Yong Mei · 2013
The ant colony algorithm is an intelligence-optimized algorithm introduced by simulating ants searching for food by seeking the shortest route through pheromone. It is very useful in solving certain complicated optimization. This paper solves task allocation problem that an underwater glider deals with multiple tasks according to their situations, finished time and importance. The simulation results show that the ant colony algorithm is feasible and effective in solving tasks allocation.