Generative communication in Linda
ACM Transactions on Programming Languages and Systems (TOPLAS)
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Terrain coverage with ant robots: a simulation study
Proceedings of the fifth international conference on Autonomous agents
Coverage for robotics – A survey of recent results
Annals of Mathematics and Artificial Intelligence
A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Using genetic algorithms to generate test plans for functionality testing
Proceedings of the 44th annual Southeast regional conference
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A study of terrain coverage models
Proceedings of the 2008 ACM symposium on Applied computing
Efficient Boustrophedon Multi-Robot Coverage: an algorithmic approach
Annals of Mathematics and Artificial Intelligence
Robot Formations for Area Coverage
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Multirobot forest coverage for weighted and unweighted terrain
IEEE Transactions on Robotics
Minimizing the ripple effect of web-centric software by using the pheromone extension
Information Sciences: an International Journal
A survey on coverage path planning for robotics
Robotics and Autonomous Systems
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When looking at science and technology today, we find a recurrent problem to many fields: how to cover a search space consistently and uniformly. This problem is encountered in robotics (searching for targets), optimization (searching for solutions), mathematics and computer science (graph traversals), and even in software engineering (the main motivation for this research). In insect societies, and in particular ant colonies, one can find the concept of alarm pheromones used to indicate an important event to the society (e.g. a threat). Alarm pheromones enable the society to have a uniform spread of its individuals, probably as a survival mechanism --- the more uniform the spread the better the changes of survival at the colony level. This paper proposes a model of this ant behavior which can be used to solve the aforementioned problem. The model, called ALARM is inspired primarily by ACO and from observations of ants alarm behavior. We compare the model with a random walk, to demonstrate a significant improvement over this approach.