Adaptive evolutionary algorithm for air defense resource allocation optimization
As an important issue of combat equipment-target allocation problem,the air defense resource allocation must continue to adapt to the dynamic changes in the battlefield.How to coordinate multi-combat equipment units in the complex battlefield environment and reasonably allocate air defense resources,and propose the more flexible and intelligent allocation strategy to maximize the equipment system efficiency and become the core issue that needs to be solved at the moment.A mathematical model for allocating air defense resources was developed.This model factors in different elements,such as tracking through multiple radar relays,using multiple missiles to intercept the same target,and prioritizing targets.By joining together the computational efficiency and customization benefits of heuristic rules with the wide-area search advantages of evolutionary algorithms,a new adaptive evolutionary algorithm has been created to address this problem in steps.To enhance the speed and capacity of the algorithm's search,the first missile allocation plan is assigned to the target during the iteration phase,and the method of resource release and replanning has been introduced to enhance the quality of the current scheme.Then,after the iteration,heuristic rules are used to allocate multiple missiles to the optimal scheme based on demand.Through numerical simulation experiments on examples of different resources and different scales,it is verified that the algorithm has the advantages of solving time and solving accuracy.It can effectively solve the problem of air defense resource allocation.
air defense resource allocationre-planningadaptive evolutionary algorithm
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