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This study proposes a Debris Removal Routing Optimization (DeRRO) framework integrating Particle Swarm Optimization with GIS analytics. The method is validated using benchmark datasets from the Traveling Salesman Problem Library, demonstrating error rates from 1.38% to 4.63% relative to exact solutions.
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