Abstract
AbstractIn this study, the task allocation mechanism in mobile swarm intelligence perception is studied and analyzed. Considering how to allocate tasks under specified time constraints and optimize for the goal, a hybrid artificial fish swarm algorithm is proposed by using swarm intelligence algorithm. The inertia index of particle swarm optimization algorithm is pulled into the typical artificial fish swarm algorithm, which is proved by simulation experiments. The hybrid artificial fish swarm algorithm greatly improves the convergence speed, avoids the shortage that the artificial fish swarm algorithm often stop when it obtains the local optimization, and this make the algorithm obtains the effect of global optimization.KeywordsHybrid artificial fish swarm algorithmTask assignmentMobile perceptionSwarm intelligence
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