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March 3, 2026International Journal of Swarm Intelligence0 citations

Hybrid particle swarm optimisation for efficient drone path planning and swarm coordination

WAWassim ArfaUniversity of CarthageCJChiraz Ben JabeurTunis UniversityHSHassene SeddikTunis University

Key Points

  • The research aims to enhance drone path planning and swarm coordination using hybrid optimization techniques.
  • Developed a hybrid algorithm combining particle swarm optimization with additional strategies.
  • Applied the algorithm to simulate drone paths in various scenarios.
  • Analyzed the swarm coordination mechanisms ensuring effective communication among drones.
  • Demonstrated improved path efficiency compared to traditional methods.
  • Achieved enhanced coordination among drones, reducing collision risks.
  • Reported significant time savings in completing designated paths.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Arfa et al. (2026) studied this question.

synapsesocial.com/papers/69a67eebf353c071a6f0a986https://doi.org/10.1504/ijsi.2026.10076678
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