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http://worldcat.org/entity/work/id/22039919

Optimal attack against an area defense protecting many targets

Many separated targets, of only a few differing values, are subject to a simultaneous attack. The area defenses considered have (a) impact point prediction (IPP) and full coordination, or (b) no IPP and full coordination, or (c) no IPP and partial coordination. For a given attack, the defense wish s to allocate its interceptors to maximize the expected total survival value of the targets. For a given attack size, and with knowledge of the defense's capabilities, the offense seeks a strategy to minimize expected total survival value against best defense. We present algorithms to determine optimal attack and defense strategies and the optimal value of the min-max problem, and we show how to take computational advantage of the relatively few unique target values. Illustrative computational results are provided. (edc).

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  • "Many separated targets, of only a few differing values, are subject to a simultaneous attack. The area defenses considered have (a) impact point prediction (IPP) and full coordination, or (b) no IPP and full coordination, or (c) no IPP and partial coordination. For a given attack, the defense wish s to allocate its interceptors to maximize the expected total survival value of the targets. For a given attack size, and with knowledge of the defense's capabilities, the offense seeks a strategy to minimize expected total survival value against best defense. We present algorithms to determine optimal attack and defense strategies and the optimal value of the min-max problem, and we show how to take computational advantage of the relatively few unique target values. Illustrative computational results are provided. (edc)."@en
  • "Many separated targets, of only a few differing values, are subject to a simultaneous attack. The area defenses considered have (a) impact point prediction (IPP) and full coordination, or (b) no IPP and full coordination, or (c) no IPP and partial coordination. For a given attack, the defense wishes to allocate its interceptors to maximize the expected total survival value of the targets. For a given attack size, and with knowledge of the defense's capabilities, the offense seeks a strategy to minimize expected total survival value against best defense. We present algorithms to determine optimal attack and defense strategies and the optimal value of the min-max problem, and we show how to take computational advantage of the relatively few unique target values. Illustrative computational results are provided."@en

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  • "Optimal Attack Against an Area Defense Protecting Many Targets"
  • "Optimal attack against an area defense protecting many targets"
  • "Optimal attack against an area defense protecting many targets"@en
  • "Optimal Attack against an Area Defense Protecting Many Targets"@en