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    <responseDate>2026-10-14T19:47:36Z</responseDate>
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    <identifier>10.57760/sciencedb.011zt</identifier>
    <datestamp>2026-09-09T15:28:22Z</datestamp>
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  <dc:date>2026-09-09</dc:date>
  <dc:title>Multi-UAV Cooperative Rescue Resource Allocation Simulation Environment</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.011zt</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset provides a simulation environment for cooperative rescue resource allocation using multiple unmanned aerial vehicles (UAVs). It models heterogeneous rescue UAVs carrying resources such as first-aid kits, vital-sign monitors, and emergency insulation blankets to assist victims with different rescue priorities. The package contains UAV and resource configurations, victim attributes, environment states, action spaces, multi-objective rewards, algorithm interfaces, and runnable examples.The environment considers rescue efficiency, resource cost, payload capacity, UAV-to-target distance, rescue priority, and environmental tolerance time. Under limited resources and time constraints, agents determine the rescue target, resource type, and dispatch quantity. The objective is to prioritize critical victims while controlling resource and travel costs. Standardized interfaces are provided for heuristic methods, multi-agent reinforcement learning, and multi-objective optimization algorithms.</dc:description>
  <dc:subject>Multi-UAV; Emergency Rescue; Resource Allocation; Multi-Agent Reinforcement Learning; Multi-Objective Optimization</dc:subject>
  <dc:creator>Xiang Wu</dc:creator>
  <dc:creator>Yuan Li</dc:creator>
  <dc:creator>Jiacun Wang</dc:creator>
  <dc:creator>Lifeng Ma</dc:creator>
  <dc:creator>Yuming Bo</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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