adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation
In this paper, we introduce the probabilistic awardee selection strategy, under which awardee is selected with a fixed probability, into the award phase of contract net protocol. We then point out that, by changing the probabilities in this strategy according the local workload, the overall performance can be considerably improved.
contract net protocol load-balancing optimization adaptive behavior distributed task allocation