Forthcoming Articles

International Journal of Swarm Intelligence

International Journal of Swarm Intelligence (IJSI)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Swarm Intelligence (One paper in press)

Regular Issues

  • Hybrid particle swarm optimisation for efficient drone path planning and swarm coordination   Order a copy of this article
    by Wassim Arfa, Chiraz Ben Jabeur, Hassene Seddik 
    Abstract: Optimising drone missions requires the integration of swarm intelligence techniques with advanced path planning algorithms to address challenges of trajectory design, obstacle avoidance, and resource management. Particle swarm optimisation (PSO) plays a central role in refining flight paths by adapting to dynamic environments and fine-tuning mission parameters, thereby increasing success rates in critical applications such as surveillance and search and rescue. Recent developments have expanded these capabilities through hybrid approaches: reinforcement learning (RL) enables real-time decision-making, genetic algorithms (GA) support evolutionary optimisation, and deep learning (DL) enhances situational awareness and obstacle detection. Moreover, hybrid PSO frameworks that combine PSO with differential evolution (DE) or ant colony optimisation (ACO) demonstrate superior adaptability in complex, uncertain environments. By uniting these methods, drone missions benefit from more efficient navigation, robust adaptability, and optimised resource utilisation, ultimately advancing the effectiveness of autonomous aerial systems across diverse operational domains.
    Keywords: swarm optimisation; drone path planning; trajectory optimisation; adaptive navigation; particle swarm optimisation; PSO; ant colony optimisation; ACO.
    DOI: 10.1504/IJSI.2026.10076678
     

 

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