Assignment Scheduling Capability for Unmanned Aerial Vehicles - A Discrete Event Simulation with Optimization in the Loop Approach to Solving a Scheduling Problem

Abstract

Many military planning problems are difficult to solve using pure mathematical programming techniques. One such problem is scheduling unmanned aerial vehicles (UAVs) in military operations subject to dynamic movement and control constraints. This problem is instead formulated as a dynamic programming problem whose approximate solution is obtained via the Assignment Scheduling Capability for UAVs (ASC-U) model using concepts from both simulation and optimization. Optimization is very effective at identifying the best decision for static problems, but is weaker in identifying the best decision in dynamic systems. Simulation is very effective in modeling and capturing dynamic effects, but is weak in optimizing from alternatives. ASC-U exploits the relative strengths of both methodologies by periodically re-optimizing UAV assignments and then having the simulation transition the states according to state dynamics. ASC-U thus exploits the strengths of simulation and optimization to construct good, timely solutions that neither optimization nor simulation could achieve alone.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA520432

Entities

People

  • Arnold H. Buss
  • Darryl K. Ahner
  • John Ruck

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Cartesian Coordinates
  • Computer Programming
  • Dynamic Programming
  • Dynamics
  • Ground Control Stations
  • Mathematical Programming
  • Military Operations
  • Optimization
  • Recovery
  • Scheduling (Production)
  • Simulations
  • Transitions
  • Unmanned
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Operations Research

Technology Areas

  • Autonomy
  • Autonomy - UAVs