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基于兩級(jí)序優(yōu)化模型的火控攻擊配置方案尋優(yōu)

發(fā)布時(shí)間:2018-05-18 07:38

  本文選題:火控攻擊配置方案 + 仿真優(yōu)化。 參考:《系統(tǒng)工程與電子技術(shù)》2017年01期


【摘要】:火控攻擊配置方案尋優(yōu)是多輸入?yún)?shù)的仿真優(yōu)化問(wèn)題,針對(duì)傳統(tǒng)方法在解決此類優(yōu)化問(wèn)題時(shí)存在的計(jì)算量大、耗時(shí)長(zhǎng)等問(wèn)題,提出一種基于兩級(jí)序優(yōu)化模型的火控攻擊配置方案尋優(yōu)方法。以空空導(dǎo)彈成功發(fā)射概率作為評(píng)價(jià)指標(biāo),采用分級(jí)尋優(yōu)策略將尋優(yōu)過(guò)程分為粗糙評(píng)估尋優(yōu)與精細(xì)評(píng)估尋優(yōu)。在粗糙評(píng)估尋優(yōu)中,建立基于粒子群-遺傳規(guī)劃的粗糙評(píng)估模型,對(duì)樣本空間所有配置方案快速評(píng)估得到優(yōu)質(zhì)解集。在精細(xì)評(píng)估尋優(yōu)中,采用迭代尋優(yōu)的方法,逐步提升粗糙評(píng)估模型的精度,并縮小優(yōu)質(zhì)解集的規(guī)模。最后利用仿真模型評(píng)估得到滿足效能指標(biāo)要求的最佳配置方案。算例仿真分析表明了算法的有效性與可行性。
[Abstract]:The optimization of fire control attack configuration is a simulation optimization problem with multiple input parameters. A fire control attack configuration scheme optimization method based on two-stage sequence optimization model is proposed. With the successful launch probability of air-to-air missile as the evaluation index, the optimization process is divided into rough evaluation optimization and fine evaluation optimization by using hierarchical optimization strategy. In rough evaluation optimization, a rough evaluation model based on particle swarm optimization (PSO) and genetic programming (PGP) is established, and a high quality solution set is obtained by quickly evaluating all configuration schemes in sample space. In fine evaluation optimization, iterative optimization method is used to improve the precision of rough evaluation model and reduce the scale of high quality solution set. Finally, the optimal configuration scheme to meet the requirements of the performance index is evaluated by using the simulation model. Simulation results show that the algorithm is effective and feasible.
【作者單位】: 西北工業(yè)大學(xué)電子信息學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(61401363) 航空科學(xué)基金(20155153034)資助課題
【分類號(hào)】:TP18;E919

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相關(guān)期刊論文 前2條

1 李波;劉學(xué)全;高曉光;;基于BP網(wǎng)絡(luò)和序優(yōu)化方法的火控攻擊方案尋優(yōu)[J];系統(tǒng)工程與電子技術(shù);2013年09期

2 ;[J];;年期

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本文編號(hào):1904994

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