本文選題：粒子群優(yōu)化　切入點(diǎn)：分類(lèi)學(xué)習(xí)　出處：《機(jī)械工程學(xué)報(bào)》2017年18期 　論文類(lèi)型：期刊論文

【摘要】：在處理工程控制及設(shè)計(jì)中含有多參數(shù),多約束的單目標(biāo)優(yōu)化問(wèn)題時(shí),為了獲得更好的優(yōu)化解,提出一種分類(lèi)學(xué)習(xí)的粒子群優(yōu)化算法。它根據(jù)每個(gè)粒子的函數(shù)適應(yīng)值,將群體分為優(yōu)勢(shì)群體、中層群體和劣勢(shì)群體三類(lèi),分別采取不同的學(xué)習(xí)方法和學(xué)習(xí)方向。優(yōu)勢(shì)群體繼續(xù)保持自身的學(xué)習(xí)速度和學(xué)習(xí)方向;中層群體采取互相學(xué)習(xí)的策略;劣勢(shì)群體采取加強(qiáng)向優(yōu)勢(shì)群體學(xué)習(xí)的策略。其優(yōu)勢(shì)在于不受函數(shù)連續(xù)、可導(dǎo)形式的制約。數(shù)值試驗(yàn)結(jié)果表明,相比于近年提出的一些改進(jìn)粒子群算法,這種算法在處理含有單峰,多峰,離散,動(dòng)態(tài)問(wèn)題的函數(shù)時(shí),具有良好的收斂性能。結(jié)合工程實(shí)例,在處理壓力容器結(jié)構(gòu)設(shè)計(jì)以及液壓矯直機(jī)PID控制的參數(shù)優(yōu)化問(wèn)題時(shí),此算法能夠獲得使系統(tǒng)性能更佳的參數(shù)組合。
[Abstract]:In order to obtain a better optimal solution, a particle swarm optimization algorithm is proposed for engineering control and design, which is based on the functional fitness of each particle, in order to obtain a better solution to the single-objective optimization problem with multiple parameters and constraints. The group is divided into three groups: the superior group, the middle group and the inferior group, which adopt different learning methods and learning directions, which continue to maintain their own learning speed and direction, and adopt the strategy of mutual learning. The disadvantaged group adopts the strategy of strengthening learning from superior group. The advantage of this strategy is that it is not restricted by continuous function and differentiable form. The numerical results show that compared with some improved particle swarm optimization algorithms proposed in recent years, This algorithm has good convergence performance when it deals with functions with single peak, multi-peak, discrete and dynamic problems. Combined with engineering examples, it deals with the optimization problems of pressure vessel structure design and PID control of hydraulic straightener. This algorithm can achieve better performance of the system parameters combination.
【作者單位】： 東北大學(xué)機(jī)械工程與自動(dòng)化學(xué)院;
【分類(lèi)號(hào)】：TH137.5;TP18
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本文編號(hào)：1559582