Bionic Communication Network and Binary Pigeon-Inspired Optimization for Multiagent Cooperative Task Allocation

Toimprove the task execution efficiency of a multiagent system, an intelligent task allocation method combined with the bionic communication network and binary pigeon-inspired optimization (BPIO) is presented. This article first builds the bionic communication network model and introduces the visual attention mechanism with the threshold effect. Second, the version of BPIO based on fuzzy theory is put forward after reviewing the classical transfer functions. The comparison tests are conducted on the benchmark between the proposed one and other forms of BPIOs. Finally, the task assignment models of tasks, agents, and targets are established, where the bionic communication method is employed for information transfer, and the proposed BPIO is applied to generate the solutions of task allocation. The simulation results demonstrate that the proposed method is feasible and adaptable to deal with the multiple agents' task allocation dynamically.