Abstract
This paper conducts a comprehensive review of swarm intelligence algorithms, highlighting the significant potential and development prospects of multi-agent systems and swarm intelligence. It underscores the ongoing research activity in this field and the continuous expansion of application areas. By examining various studies and publications, the paper concludes the importance of integrating approaches from different scientific disciplines to tackle diverse and complex problems using swarm intelligence. Future research is aimed at providing a more detailed analysis and comparison of various swarm intelligence algorithms across different application domains, as well as exploring their integration with other artificial intelligence methods. This work points towards the growing relevance of swarm intelligence in solving real-world problems, showcasing its versatility and effectiveness across multiple sectors, including military, agriculture, search and rescue, and environmental monitoring.
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