This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the object...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...
We investigate the application of a low-cost, pervasively distributed network to plan paths for mobile robots in environments with dynamic obstacles. We consider a heterogeneous s...
There are two reasons for parallelizing a metaheuristic if one is interested in performance: (i) given a fixed time to search, the aim is to increase the quality of the solutions f...
We present an algorithm for covering continuous domains by primitive robots whose only ability is to mark visited places with pheromone and to sense the level of the pheromone in t...
Eliyahu Osherovich, Alfred M. Bruckstein, Vladimir...
Despite the wealth of information and communication technology in society today, there appears to be a lack of acceptable information services for the growing elderly population in...
Erwin R. van Veldhoven, Martijn H. Vastenburg, Dav...