【摘要】：對機(jī)械設(shè)備的維修區(qū)域進(jìn)行資源優(yōu)化調(diào)度,能夠有效提高機(jī)械設(shè)備的工作時(shí)間。對機(jī)械設(shè)備的維修區(qū)域資源的優(yōu)化調(diào)度,需要先增強(qiáng)全局搜索能力,利用排斥項(xiàng)避免種群搜索進(jìn)程的早熟收斂,完成機(jī)械設(shè)備維修區(qū)域資源優(yōu)化調(diào)度。傳統(tǒng)方法利用遺傳操作算子對編碼方案進(jìn)行改進(jìn),采用遺傳操作算子精英保留策略構(gòu)造最優(yōu)解集,但忽略了搜索進(jìn)程的早熟收斂,導(dǎo)致調(diào)度精度偏低。提出基于粒子群優(yōu)化的機(jī)械設(shè)備維修資源優(yōu)化調(diào)度方法。上述方法給出機(jī)械設(shè)備維修資源分配問題的目標(biāo)函數(shù),將資源調(diào)度問題分解為靜態(tài)和動態(tài)維修任務(wù)調(diào)度問題,組建機(jī)械設(shè)備維修資源優(yōu)化調(diào)度模型,結(jié)合粒子群優(yōu)化理論對模型進(jìn)行求解,利用排斥項(xiàng)避免種群搜索進(jìn)程的早熟收斂,以獲得的全局最優(yōu)解為依據(jù)完成機(jī)械設(shè)備維修資源優(yōu)化調(diào)度。實(shí)驗(yàn)結(jié)果表明,所提方法能夠有效提升機(jī)械設(shè)備維修資源優(yōu)化調(diào)度效率。
[Abstract]:The optimal scheduling of mechanical equipment maintenance area can effectively improve the working time of mechanical equipment. In order to optimize the maintenance area resources of mechanical equipment, the global search ability should be enhanced first, and the precocious convergence of the population search process should be avoided by using exclusions to complete the optimal scheduling of regional resources for mechanical equipment maintenance. The traditional method uses genetic operator to improve the coding scheme, and adopts the elite retention strategy of genetic operator to construct the optimal solution set, but neglects the precocious convergence of the search process, which leads to the low scheduling accuracy. An optimal scheduling method for mechanical equipment maintenance resources based on particle swarm optimization (PSO) is proposed. The objective function of mechanical equipment maintenance resource allocation problem is given in the above method. The resource scheduling problem is decomposed into static and dynamic maintenance task scheduling problems, and the optimal scheduling model of mechanical equipment maintenance resources is established. Based on the particle swarm optimization theory, the model is solved to avoid the premature convergence of population search process, and the optimal scheduling of mechanical equipment maintenance resources is completed based on the obtained global optimal solution. Experimental results show that the proposed method can effectively improve the efficiency of optimal scheduling of mechanical equipment maintenance resources.
【作者單位】： 遼寧工程技術(shù)大學(xué)電氣與控制工程學(xué)院;
【分類號】：TH186;TP18

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