Application of Optimization Methods in Determining Payload Allocations for a Force of Penetrating Aircraft.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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Allocation of the limited number of weapons spaces on a bomber became a problem when the availability of defensive missiles raised the possibility of a trade force. This study approaches the allocation problem by partitioning the enemy strategic heartland into discrete areas of constant defensive strength. A Monte Carlo simulation of the air battle between opposing offensive and defensive forces is used to determine the expected number of surviving bombers in each partition. With other factors held constant, the expected number of surviving bombers will be dependent on the quantity of defensive weapons available to them. This expected number of surviving bombers is used to generate a probability of bomber survival in each partition, for each possible load configuration of defensive weapons. Given the relative value of the targets available in each partition, a dynamic programming technique is utilized to enumerate all feasible weapon load configurations and to evaluate, using the associated probabilities of bomber survival, the expected return in target destruction generated by assignment of offensive weapons to those targets. The optimal allocation of weapon spaces is determined for simulated input data and the last chapter provides examples of other types of trade off analyses to which the model may be applied. Additional inferences are drawn with respect to the strategic doctrine which might call for this method of attack. Author
- Operations Research
- Military Operations, Strategy and Tactics