an:06619265
Zbl 1383.62366
Vieira, H??lcio jun.; Kienitz, Karl Heinz; Belder-Rain, Mischel Carmen Neyra
Multinomial selection in the presence of infinite alternatives
EN
Commun. Stat., Simulation Comput. 45, No. 5, 1731-1747 (2016).
00357443
2016
j
62P99
military; multinomial selection problem; simulation optimization
Summary: We propose a new procedure for the multinomial selection problem to solve a real problem of any modern Air Force: the elaboration of better air-to-air tactics for Beyond Visual Range air-to-air combat that maximize its aircraft survival probability \(H(\theta,\omega)\), as well as enemy aircraft downing probability \(G(\theta,\omega)\). In this study, using a low-resolution simulator with generic parameters for the aircraft and missiles, we could increase an average success rate of 16.69\% and 16.23\% for \(H(\theta,\omega)\) and \(G(\theta,\omega)\), respectively, to an average success rate of 76.85\% and 79.30\%. We can assure with low probability of being wrong that the selected tactic has greater probability of yielding greater success rates in both \(H(\theta,\omega)\) and \(G(\theta,\omega)\) than any simulated tactic.