Evolving Adaptive Pheromone Path Planning Mechanisms Export

@inproceedings{sauter02a, 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.}, address = {Bologna, Italy}, author = {Sauter, John A. and Matthews, Rober and Van Dyke and Brueckner, Sven}, booktitle = {Proceedings of the First Intenational Joint Conference on Autonomous Agents and Multiagent Systems}, citeulike-article-id = {1585621}, citeulike-linkout-0 = {http://jmvidal.cse.sc.edu/library/sauter02a.pdf}, keywords = {ants, bibtex-import, biology, multiagent}, pages = {434--440}, posted-at = {2007-08-23 14:42:22}, priority = {2}, publisher = {{ACM} Press, New York, NY}, title = {Evolving Adaptive Pheromone Path Planning Mechanisms}, url = {http://jmvidal.cse.sc.edu/library/sauter02a.pdf}, year = {2002} }

TY - CONF ID - sauter02a L3 - citeulike-article-id:1585621 N2 - 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. AD - Bologna, Italy EP - 440 TI - Evolving Adaptive Pheromone Path Planning Mechanisms PB - {ACM} Press, New York, NY T2 - Proceedings of the First Intenational Joint Conference on Autonomous Agents and Multiagent Systems SP - 434 KW - ants KW - bibtex-import KW - biology KW - multiagent AU - Sauter, John AU - Matthews, Rober AU - Van Dyke AU - Brueckner, Sven PY - 2002/// UR - http://jmvidal.cse.sc.edu/library/sauter02a.pdf ER -