The Fighter Problem: Optimal Allocation of a Discrete Commodity
Jay Bartroff, Ester Samuel-Cahn

TL;DR
This paper analyzes the optimal missile allocation strategy for a fighter aircraft facing enemy intercepts modeled as a Poisson process, revealing conditions under which intuitive properties of the strategy hold or fail.
Contribution
It establishes the validity of certain intuitive properties of the optimal missile usage function and provides counterexamples where these properties do not hold.
Findings
Property C (saving for future encounters) holds for all u.
Property A (more usage closer to destination) holds universally.
Property B (more missiles lead to more usage) holds only for u=1 and fails for u=0.
Abstract
The Fighter problem with discrete ammunition is studied. An aircraft (fighter) equipped with anti-aircraft missiles is intercepted by enemy airplanes, the appearance of which follows a homogeneous Poisson process with known intensity. If of the missiles are spent at an encounter they destroy an enemy plane with probability , where and is a known, strictly increasing concave sequence, e.g., . If the enemy is not destroyed, the enemy shoots the fighter down with known probability , where . The goal of the fighter is to shoot down as many enemy airplanes as possible during a given time period . Let be the smallest optimal number of missiles to be used at a present encounter, when the fighter has flying time remaining and missiles remaining. Three seemingly obvious…
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Taxonomy
TopicsMilitary Defense Systems Analysis · Optimization and Search Problems · Guidance and Control Systems
