TL;DR
P-MWFCM-ACO is proposed, a two-phase framework that integrates, for the first time, priority weights derived from an empirically validated survival probability model into the clustering phase of MRTA, providing the first empirical evidence that integrating medical triage models into the clustering phase of MRTA significantly improves rescue outcomes in mass casualty scenarios.
A structured multi-UAV framework that separates mission optimisation into spatial, temporal, and safety layers is presented, indicating that integrating spatial planning, computation control, and safety coordination within a clearly separated layered architecture can provide an effective solution for multi-UAV disaster...
Multi-UAV multi-sensor cooperative detection is critical for situational awareness in complex environments with stationary known targets. To overcome the shortcomings of existing task allocation models in fine-grained cooperation, stealth constraints, and large-scale optimization, this paper proposes a new offline miss...
In disaster-relief logistics, disrupted ground transportation networks and the limited payload and endurance of UAVs make it difficult to allocate emergency materials across geographically dispersed demand points. This study formulates a capacity-constrained bi-objective multi-UAV material distribution problem that sim...
A two-stage framework that explicitly couples task-cluster generation with route-level feasibility verification is developed, providing algorithm-level evidence for coordinated marine-UAV task assignment and route-sequence planning, but do not establish real-world flight readiness or field-deployment performance.
The principal finding is that the incremental solution yields a higher objective value than the static approach solving the same data in a single pass, showing that the locked field state preserves operational continuity without sacrificing solution quality.
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