摘要
将目标分配引入到两步裁定法的效能研究之中。首先根据空战态势评估双方战机的易损性;然后根据易损性确定双方战机的先敌发射率;继而综合先敌发射率和导弹杀伤概率等因素来确定空战中每一架战机个体的被毁伤概率,结合约束条件得到超视距空战模型。给出一种基于Memetic算法的目标分配求解方法,该算法分别用离散差分进化算法和邻域搜索算法来进行全局和局部搜索。在收敛速度方面同离散差分进化算法进行了比较,最后通过仿真验证了该方法的合理性和有效性。
The target assignment was studying two-step adjudication′s effectiveness. Firstly, the battle plane′s vul-nerabilities were estimated according to the air combat situations. Secondly, the first-shoot-fraction for both sides’ battle planes was determined with these vulnerabilities. Thirdly, based on the first-shoot-fraction and kill probability for a single missile, each battle plane′s damage probabilities were calculated in the air combat. Finally, the beyond visual range air combat model was established with constraining relationships considered. A solving method for the target assignment based on Memetic algorithm was presented. It is constructed with discrete differential evolution ( DDE) algorithm for the global searching and with neighborhood algorithm for the local searching. The algorithm was compared with DDE algorithm on the convergence rate. The air combat simulation was carried out; the results and their analysis prove preliminarily that the proposed algorithm is feasible and effective.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2014年第3期406-411,共6页
Journal of Northwestern Polytechnical University
基金
国家自然科学基金(61374032)资助
关键词
空战效能
MEMETIC算法
目标分配
两步裁定
约束优化
进化算法
algorithms, computer simulation, constrainedciency, evolutionary algorithms, flowcharting,optimization, convergence of numerical methods, effi-functions, mathematical models, optimization, proba-bility
air combat effectiveness, Memetic algorithm, target assignment, two-step adjudication