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Three-dimensional path planning for unmanned aerial vehicles using glowworm swarm optimization algorithm


  • Prashant Pandey

    () (Indian Institute of Information Technology and Management)

  • Anupam Shukla

    () (Indian Institute of Information Technology and Management)

  • Ritu Tiwari

    () (Indian Institute of Information Technology and Management)


Abstract Robot path planning is a task to determine the most viable path between a source and destination while preventing collisions in the underlying environment. This task has always been characterized as a high dimensional optimization problem and is considered NP-Hard. There have been several algorithms proposed which give solutions to path planning problem in deterministic and non-deterministic ways. The problem, however, is open to new algorithms that have potential to obtain better quality solutions with less time complexity. The paper presents a new approach to solving the 3-dimensional path planning problem for a flying vehicle whose task is to generate a viable trajectory for a source point to the destination point keeping a safe distance from the obstacles present in the way. A new algorithm based on discrete glowworm swarm optimization algorithm is applied to the problem. The modified algorithm is then compared with Dijkstra and meta-heuristic algorithms like PSO, IBA and BBO algorithm and their performance is compared to the path optimization problem.

Suggested Citation

  • Prashant Pandey & Anupam Shukla & Ritu Tiwari, 2018. "Three-dimensional path planning for unmanned aerial vehicles using glowworm swarm optimization algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(4), pages 836-852, August.
  • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:4:d:10.1007_s13198-017-0663-z
    DOI: 10.1007/s13198-017-0663-z

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