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This paper presents an improved parallel processing-based strawberry optimization algorithm for optimal drone placement to monitor sensor targets effectively. The study demonstrates that the strawberry optimization algorithm outperforms traditional methods like Genetic Algorithms and Particle Swarm Optimization in terms of drone count, convergence, and computation time. The authors also introduce a systematic framework for assessing drone coverage techniques through various test suits, highlighting the algo
- Author
- Ahmed Elkhrbawi
- Language
- EN