Obstacle-aware multi-UAV scheduling for plant-protection operations using an enhanced walrus optimizer
This paper proposes an enhanced walrus optimization algorithm (CRWO) that integrates random differential mutation, lens-imaging opposition-based learning, and discrete neighborhood search to jointly optimize task assignment and visit order for multi-UAV plant-protection operations, effectively balancing fleet workload and ensuring obstacle-aware route feasibility under endurance constraints.