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基于模糊遺傳的聯(lián)合作戰(zhàn)目標(biāo)組合選擇方法

發(fā)布時(shí)間:2018-08-15 11:26
【摘要】:信息化條件下聯(lián)合作戰(zhàn)目標(biāo)和火力決策,需要借助智能模型和優(yōu)化方法,實(shí)現(xiàn)多軍兵種作戰(zhàn)火力的協(xié)作與融合。針對聯(lián)合作戰(zhàn)目標(biāo)決策和火力配置問題,以實(shí)現(xiàn)達(dá)成總體目標(biāo)的最大實(shí)現(xiàn)和火力的最優(yōu)發(fā)揮為雙目標(biāo),構(gòu)建模糊多目標(biāo)的規(guī)劃模型。在模型求解算法上,運(yùn)用可能性理論對模糊數(shù)進(jìn)行轉(zhuǎn)化,將模型轉(zhuǎn)換為確定形式的多目標(biāo)規(guī)劃模型,設(shè)計(jì)多目標(biāo)遺傳算法優(yōu)化處理,提高算法的效率。并通過實(shí)例數(shù)據(jù)對構(gòu)建的模型及設(shè)計(jì)的求解方法進(jìn)行驗(yàn)證,得出雙目標(biāo)的帕累托最優(yōu)集。
[Abstract]:Under the condition of information technology, the cooperation and fusion of combat firepower of multi-services and arms should be realized by means of intelligent model and optimization method. Aiming at the problem of joint operation target decision and firepower disposition, a fuzzy multi-objective planning model is constructed to achieve the maximum goal and maximize firepower. In the algorithm of model solving, the fuzzy number is transformed by possibility theory, the model is transformed into a multi-objective programming model with definite form, and the optimization of multi-objective genetic algorithm is designed to improve the efficiency of the algorithm. The Pareto optimal set with two targets is obtained by validating the model and the solution method of the design through the example data.
【作者單位】: 國防大學(xué)信息作戰(zhàn)與指揮訓(xùn)練教研部;
【基金】:國家自然科學(xué)基金(71401168)
【分類號】:E11;TP18
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本文編號:2184059

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