Applied Research of ADSHPSO Algorithm in Multi-UAV Cooperative Mission Planning

Xin Zeng Wang; Jin Bao Xiao

doi:10.4028/www.scientific.net/AMM.373-375.1106

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Applied Research of ADSHPSO Algorithm in Multi-UAV...

Applied Research of ADSHPSO Algorithm in Multi-UAV Cooperative Mission Planning

Abstract:

The particle swarm optimization algorithm was improved in this paper, a novel self-adaption dynamic sub-swarms hybrid particle swarm optimization algorithm is proposed, in this algorithm, subgroup partition method based on dynamic clustering of particle adaptive value is adopted to divide particle group to different capability sub-group, then execute different optimize strategy to different subgroup, simultaneity, inertial weight and accelerating coefficient are adaptive set, through contacting adjustment of parameter with sub-group capability, the particle mode method and intersect and aberrance strategy of double deck are designed, The experimental results show that the algorithm has simple programming, good robust capability and strong optimizing capability which established the foundation of task planning of multi-UAV Cooperative.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

1106-1109

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.1106

Citation:

Cite this paper

Online since:

August 2013

Authors:

Xin Zeng Wang, Jin Bao Xiao

Keywords:

Improve Strategy, Mission Planning, PSO Algorithm, Unmanned Aerial Vehicle (UAV)

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References

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