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Applying Tabu Heuristic to Wind Influenced, Minimum Risk and Maximum ExpectedCoverage Routes

机译：将禁忌启发式应用于风影响，最小风险和最大预期覆盖路径

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The purpose of this thesis is to provide Air Combat Command a method fordetermining the number of predator unmanned aerial vehicles (UAVs) required to cover a pre-selected target. Extending previous research that employs reactive TABU search methods for deterministic vehicle routing problems, this thesis incorporates wind effects that can significantly alter the travel times for any given scenario. Additionally, it accounts for possible attrition by introducing minimum risk route and expected number of target covered to the objective function. The results of the TABU search and subsequent Monte-Carlo simulation: gives the number of predator's required to cover a target set, identifies 'robust' routes, and suggests routes that increase expected number of targets covered while reducing losses.

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