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Multi-Robot Task Allocation Based on Cloud Ant Colony Algorithm

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10637)

Abstract

In this paper, an improved ant colony algorithm based on cloud model is proposed to study the multi-robot task allocation problem. The improvement of the proposed algorithm mainly includes the construction of adaptive control mechanism, pheromone updating mechanism and task point selection mechanism. Some important optimization operators are designed such as evaluation of pheromone distribution, determination of suboptimal solution and selection of task point. Simulation results show that the proposed algorithm can obtain high-quality solution and fast convergence, the effect is significant.

Keywords

Multi-robot task allocation Ant colony algorithm Cloud model 

Notes

Acknowledgment

This work is partially supported by National Natural Science Foundation of China (No. 61673117) and two other research grants (Nos. rcxm201713 and 2017FSKJ11).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Computer and Information EngineeringFuyang Teachers CollegeFuyangChina

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