Task allocation method for multi-loitering units using PSO algorithm

Da Lin Li*, Jie Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

For making multi-loitering units have more ability to complete complex task as attacking multi-target on the ground, the task allocation method for loitering units with small payload is studied based on particle swarm optimization (PSO) algorithm. In consideration of two main tasks with different starting modes, two models for task allocation were established separately. One task allocation model was designed for air-drop pattern using basic PSO global optimization algorithm and the other was designed for land launching pattern. The improved PSO integer programming algorithm could be used to solve the calculation problem under launching mode. Simulation results show that the algorithm can satisfy the needs of complex task. Task allocation method is reasonable to fit the requests of multi-loitering units.

Original languageEnglish
Pages (from-to)1436-1439
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume30
Issue number12
Publication statusPublished - Dec 2010

Keywords

  • Multi-loitering units
  • Particle swarm optimization algorithm (PSO)
  • Task allocation method

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