Adaptive Contract Net Protocol Based on Ant Colony Optimization Algorithm
An adaptive contract net protocol which can adapt to dynamic environment is proposed based on ant colony optimization algorithm. In the negotiation process of task allocation, the probability of the contractor being selected is related with the contractor’s credibility and ability. Several experiments are performed to show the advantages of this algorithm, it has a better decision quality when task recurrence rate (TRR) unchanged, and the communication traffic (CT) remains at a low level as TRR increases when the number of tasks (NT) unchanged. As a result, the algorithm can enhance the decision quality and reduce the communication traffic.
Yongping Zhang, Linhua Zhou and Elwin Mao
X. L. Tang et al., "Adaptive Contract Net Protocol Based on Ant Colony Optimization Algorithm", Applied Mechanics and Materials, Vol. 109, pp. 666-670, 2012