Research on Rapid Evaluation Method of Operational Effectiveness of Manned/Unmanned Equipment System
Aiming at the problem that it was difficult to evaluate the combat effectiveness of traditional equipment sys-tem quickly,it was proposed that a rapid evaluation method of manned/unmanned cooperative equipment combat effective-ness based on extreme learning machine(ELM)and coyote optimization algorithm(COA).On the basis of sorting out and analyzing the factors affecting the operational effectiveness of manned/unmanned cooperative equipment,the evaluation in-dex system of equipment effectiveness was established.The traditional analytic hierarchy process(AHP)was used to deter-mine the index weight and calculate the combat effectiveness of the equipment.The ELM was used to establish an evaluation model of the relationship between evaluation index data and equipment combat effectiveness,and the COA was used to opti-mize ELM,which effectively improved the accuracy of the evaluation model.The effectiveness of the evaluation model was verified by taking the equipment system of a manned/unmanned intelligent cooperative combat unit as an example.The sim-ulation results showed that compared with the traditional effectiveness evaluation method,this method could evaluate the combat effectiveness of the equipment quickly and accurately.
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