par Miletitch, Roman 
;Dorigo, Marco ;Trianni, Vito
Référence Swarm Intelligence, 12, 4, page (307-326)
Publication Publié, 2018-12-01
;Dorigo, Marco ;Trianni, Vito Référence Swarm Intelligence, 12, 4, page (307-326)
Publication Publié, 2018-12-01
Article révisé par les pairs
| Résumé : | Renewable resources like fish stock or forests should be exploited at a rate that supports regeneration and sustainability—a complex problem that requires adaptive approaches to maintain a sufficiently high exploitation while avoiding depletion. In the presence of oblivious agents that cannot keep track of all available resources—a frequent condition in swarm robotics—ensuring that the exploitation effort is correctly balanced is particularly challenging. Additionally, the possibility to exploit resources by multiple robots opens the way to focusing the effort either on a single or on multiple resources in parallel. This means that the swarm needs to collectively decide whether to remain cohesive or split among multiple resources, as a function of the ability of the available resources to replenish after exploitation. In this paper, we propose a decentralised strategy for a swarm of robots that adapts to the available resources and balances the effort among them, hence allowing to maximise the exploitation rate while avoiding to completely deplete the resources. A detailed analysis of the strategy parameters provides insights into the working principles and expected performance of the robot swarm. |
