| 基于EDA算法的机械手最优轨迹 |
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| 引用本文： | 樊纪山,纪林海. 基于EDA算法的机械手最优轨迹[J]. 微计算机信息, 2010, 0(14) |
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| 作者姓名： | 樊纪山 纪林海 |
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| 作者单位： | 淮海工学院电子工程学院; |
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| 基金项目： | 连云港市自然科学基金(CG0804); 淮海工学院科研基金(KQ07047,Z2008030) |
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| 摘 要： | 遗传算法在机械手轨迹优化过程中存在一定的缺陷,为了获得较理想的运动轨迹,提出了基于EDA优化算法的机械手运动轨迹优化算法。由于EDA算法中仅使用选择和基因池重组算子,因而常会过早收敛。为了改变这种不足,提出一种改进的EDA算法(IEDA),IEDA算法中使用了小生境技术来保持解的多样性,斌使用簇的方法保存优良个体。通过实验仿真,所得优化轨迹令人满意,且表现出优良特性。
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| 关 键 词： | 分布评估算法 机械手轨迹 小生境 簇 |
Manipulator's Optimal Trajectory Based on EDA algorithm |
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| FAN Ji-shan JI Lin-hai. Manipulator's Optimal Trajectory Based on EDA algorithm[J]. Control & Automation, 2010, 0(14) |
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| Authors: | FAN Ji-shan JI Lin-hai |
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| Affiliation: | (School of Electronic Engineering,HuaiHai Institute of Technology,LianYunGang,JiangSu,222005,China) FAN Ji-shan JI Lin-hai |
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| Abstract: | The deficiency existed in trajectory of manipulator by applying genetic algorithms,so the trajectory method for manipulator based on EDA optimization algorithm has been put forward.EDA algorithm made use of the selection operators and gene pool recombination operators to make the younger colony better than elder colony.The improving EDA algorithm may solve the deficiency of EDA algorithm.The IEDA algorithm makes use of niche to keep the diversity of solutions and clusters to save the better individual.By us... |
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| Keywords: | Estimation of Distribution Algorithm the trajectory of manipulator niche cluster |
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