Control parameters of the SOMA algorithm.

<div><p>Ensuring efficient and safe trajectory planning for UAVs in complex and dynamic environments is a critical challenge, especially for UAVs that are increasingly deployed in applications like environmental monitoring, disaster management, and surveillance. The primary complications...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Quoc Bao Diep (18452207) (author)
مؤلفون آخرون:	Thanh-Cong Truong (18452213) (author), Ivan Zelinka (7204901) (author)
منشور في:	2025
الموضوعات:	Biotechnology Evolutionary Biology Ecology Inorganic Chemistry Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified organizing migrating algorithm integrates obstacle avoidance competitive behaviors observed autonomously generate safe unpredictable environmental changes uavs successfully reach uav trajectory planning time obstacle avoidance method enables uavs safe trajectory planning uavs include real trajectory planning planning trajectory safe control proposed method dynamic changes uavs using ten uavs work contributes primary complications prevent collisions paper addresses natural organisms increasingly deployed ensure safety efficient paths effectively balancing dynamic environments disaster management critical challenge cost function competing objectives centralized control avoiding collisions adaptable solution
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Control parameters of the SOMA algorithm.

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