本文選題：聲音擴散體 + 多目標(biāo)粒子群��； 參考：《科學(xué)技術(shù)與工程》2017年32期

【摘要】：為提高聲音擴散體設(shè)計的合理性降低算法計算復(fù)雜度,提出基于分散圖決策的ε占優(yōu)多目標(biāo)粒子群算法(ε-MOPSO)的聲音擴散體設(shè)計方法。首先,利用夫瑯禾費理論建立施羅德擴散的聲音擴散特性量化方法,獲得1/3倍頻帶的擴散系數(shù);并利用歸一化方式消除極限尺寸下產(chǎn)生的邊緣衍射散射效應(yīng)。其次,構(gòu)建聲音擴散體多目標(biāo)優(yōu)化模型,通過對擴散系數(shù)進(jìn)行重設(shè)置,消除擴散體重復(fù)和等價問題。然后采用ε-MOPSO算法,將目標(biāo)空間分割成固定數(shù)量的n個網(wǎng)格,以保持種群解的多樣性,實現(xiàn)聲音擴散體參數(shù)優(yōu)化;并采用分散圖決策方式實現(xiàn)最終散體設(shè)計方案選擇。最后,通過仿真對3種不同的設(shè)計模型進(jìn)行了評價和選擇。
[Abstract]:In order to improve the rationality of sound diffuser design and reduce the computational complexity of the algorithm, a method of sound diffusion volume design based on 蔚 -MOPSO-based 蔚 -dominated multi-objective particle swarm optimization (蔚 -MOPSO) is proposed. Firstly, by using Fraunhofer's theory, the sound diffusion characteristics of Schroeder diffusion are quantified, and the diffusion coefficient of 1 / 3 times frequency band is obtained, and the edge diffraction scattering effect under the limit size is eliminated by the normalized method. Secondly, the multi-objective optimization model of acoustic diffuser is constructed, and the problem of repetition and equivalence of diffuser is eliminated by re-setting the diffusion coefficient. Then 蔚 -MOPSO algorithm is used to divide the target space into a fixed number of n meshes in order to maintain the diversity of population solutions and optimize the parameters of acoustic diffuser. Finally, three different design models are evaluated and selected by simulation.
【作者單位】： 中國科學(xué)院武漢物理與數(shù)學(xué)研究所;
【基金】：國家自然科學(xué)基金(11404375) 國家重點基礎(chǔ)研究發(fā)展計劃(2012CB922101)資助
【分類號】：TP18
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本文編號：1792508