To enhance the efficiency of swarm robotic task allocation in intelligent warehousing scheduling,a Cauchy migra-tion fireworks algorithm is proposed.The fitness function is firstly constructed integrating three indices including walking distance,elapsed time and task balance among the member robots as the optimization objective.Considering the robot power as constraint,the dynamic task allocation is then modeled as a basic fireworks algorithm.And then a Cauchy migration mutation spark and a selection strategy based on fitness function are introduced.Finally,Cauchy migration fireworks algorithm is compared with another ones through simulation.The experimental results show that the phenomena of tempted local optimum and slow convergence are im-proved,and that Cauchy migration fireworks algorithm dominates the above opponents on task allocation efficiency.
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