@InProceedings{sauter02a,
  author =	 {John A Sauter and Rober Matthews and H. Van Dyke
                  Parunak and Sven Brueckner},
  title =	 {Evolving Adaptive Pheromone Path Planning
                  Mechanisms},
  booktitle =	 {Proceedings of the First Intenational Joint
                  Conference on Autonomous Agents and Multiagent
                  Systems},
  pages =	 {434--440},
  year =	 2002,
  address =	 {Bologna, Italy},
  publisher =	 {{ACM} Press, New York, NY},
  abstract =	 {Agents guided by synthetic pheromones can imitate
                  the behavior of insects in tasks such as path
                  planning. These systems are well suited to problems
                  such as path planning for unmanned robotic
                  vehicles. We have developed a model for controlling
                  robotic vehicles in combat missions using synthetic
                  pheromones. In the course of our experimentation, we
                  have identified the need for proper tuning of the
                  algorithms to get the desired behavior. We briefly
                  describe the synthetic pheromone mechanisms for
                  dynamically finding targets and planning safe
                  paths. Genetic algorithms for automatically tuning
                  the behavior of the pheromone equations are
                  described.},
  keywords =     {multiagent biology ants},
  url =		 {http://jmvidal.cse.sc.edu/library/sauter02a.pdf},
  cluster = 	 {1521868420751672693}
}