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  1. Swarm Intelligence
  2. Swarm Intelligence : Volume 8
  3. Swarm Intelligence : Volume 8, Issue 2, June 2014
  4. Revisiting wavefront construction with collective agents: an approach to foraging
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Swarm Intelligence : Volume 11
Swarm Intelligence : Volume 10
Swarm Intelligence : Volume 9
Swarm Intelligence : Volume 8
Swarm Intelligence : Volume 8, Issue 4, December 2014
Swarm Intelligence : Volume 8, Issue 3, September 2014
Swarm Intelligence : Volume 8, Issue 2, June 2014
AutoMoDe: A novel approach to the automatic design of control software for robot swarms
Revisiting wavefront construction with collective agents: an approach to foraging
Interactive ant colony optimization (iACO) for early lifecycle software design
Swarm Intelligence : Volume 8, Issue 1, March 2014
Swarm Intelligence : Volume 7
Swarm Intelligence : Volume 6
Swarm Intelligence : Volume 5
Swarm Intelligence : Volume 4
Swarm Intelligence : Volume 3
Swarm Intelligence : Volume 2
Swarm Intelligence : Volume 1

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Revisiting wavefront construction with collective agents: an approach to foraging

Content Provider SpringerLink
Author Simonin, Olivier Charpillet, François Thierry, Eric
Copyright Year 2014
Abstract We consider the problem of coordinating a team of agents that have to collect disseminated resources in an unknown environment. We are interested in approaches in which agents collectively explore the environment and build paths between home and resources. The originality of our approach is to simultaneously build an artificial potential field (APF) around the agents’ home while foraging. We propose a multi-agent model defining a distributed and asynchronous version of Barraquand et al. Wavefront algorithm. Agents need only to mark and read integers locally on a grid, that is, their environment. We prove that the construction converges to the optimal APF. This allows the definition of a complete parameter-free foraging algorithm, called c-marking agents. The algorithm is evaluated by simulation, while varying the foraging settings. Then we compare our approach to a pheromone-based algorithm. Finally, we discuss requirements for implementation in robotics.
Starting Page 113
Ending Page 138
Page Count 26
File Format PDF
ISSN 19353812
Journal Swarm Intelligence
Volume Number 8
Issue Number 2
e-ISSN 19353820
Language English
Publisher Springer US
Publisher Date 2014-05-24
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Swarm algorithm Foraging task Artificial potential field Ant algorithms Artificial Intelligence (incl. Robotics) Computer Systems Organization and Communication Networks ApplicationMathematics/Computational Methods of Engineering Communications Engineering, Networks Computer Communication Networks
Content Type Text
Resource Type Article
Subject Artificial Intelligence
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