| 龚亚星,王联国.基于蜂群-杂草算法的农机行星传动优化设计[J].干旱地区农业研究,2015,33(2):283~286 |
| 基于蜂群-杂草算法的农机行星传动优化设计 |
| Optimal design of planet transmission mechanism in agricultural machinery based on bee colony and invasive weed optimization |
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| DOI：10.16302/j.cnki.1000-7601.2015.02.046 |
| 中文关键词: 农业机械 行星传动 优化设计 杂草算法 人工蜂群算 |
| 英文关键词:agricultural machinery planet transmission mechanism optimal design invasive weed algorithm artificial bee colony algorithm |
| 基金项目:甘肃省教育信息化发展战略研究项目（2011-2） |
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| 中文摘要: |
| 将人工蜂群算法的寻优机制引入到入侵性杂草优化算法中，提出了一种混合蜂群杂草算法(BCIWO)，将其应用于农业机械中星齿行星传动机构的优化设计。选取一个实例，将新算法与遗传算法(GA)及基本杂草算法(IWO)的实验结果进行对比，结果表明：① 采用BCIWO算法所得的行星传动结构的设计体积为1.4725×107 mm3，小于GA与IWO所得；② BCIWO多次求解的波动较小，求解稳定性较高；③ BCIWO的计算速度较快。从而推知，BCIWO在机械优化设计领域更具推广性。 |
| 英文摘要: |
| A hybrid algorithm of bee colony and invasive weed optimization (BCIWO) is proposed by introducing the optimization mechanism of the artificial bee colony (ABC) algorithm into the invasive weed optimization (IWO) algorithm and applied into the optimal design of star gear planet transmission mechanism in agricultural machinery. This new algorithm (BCIWO) is compared with GA and IWO. The results showed that: ① The minimal design volume (1.4725×107 mm3) of the planet transmission mechanism is obtained by BCIWO, which is smaller than GA and IWO; ② The solution fluctuation of BCIWO is also smaller than other two algorithms, which illustrates it has a good stability; ③ The calculation speed of BCIWO is faster. So we can conclude that BCIWO is worth further promoting in mechanism design field. |
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