| 基于二次插值的人工蜂群算法 |
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| 引用本文： | 李翠.基于二次插值的人工蜂群算法[J].科学技术与工程,2013,13(20):5819-5824. |
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| 作者姓名： | 李翠 |
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| 作者单位： | 北方民族大学 |
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| 基金项目： | 国家自然科学基金项目（面上项目，重点项目，重大项目）以边缘检测为驱动的多Contourlet包域多传感器图像自适应融合 |
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| 摘 要： | 人工蜂群算法是一种基于蜜蜂采蜜行为的一种优化算法.针对标准人工蜂群算法的收敛速度慢、搜索能力差、精度低的缺点。提出了一种基于二次插值的人工蜂群算法(QIABC)。保持全局搜索和局部搜索的平衡.数值实验说明了改进的人工蜂群算法在函数评价次数、收敛速度、精度和鲁棒性方面具有较大的优势,从而表明改进方法的有效性。
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| 关 键 词： | 人工蜂群 二次插值 函数最优化问题 |
| 收稿时间： | 2013/3/29 0:00:00 |
| 修稿时间： | 2013/4/24 0:00:00 |
Artificial bee colony algorithm based on quadratic interpolation |
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| licui.Artificial bee colony algorithm based on quadratic interpolation[J].Science Technology and Engineering,2013,13(20):5819-5824. |
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| Authors: | licui |
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| Institution: | (Information and system science research institute,School of Information and Computation Science,Beifang University of Nationalities,Yinchuan 750021,P.R.China) |
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| Abstract: | Artificial bee colony algorithm is an optimization algorithm based on the behavior of honey bees. The convergence speed of the standard artificial bee colony algorithm is slow, search ability, low accuracy. A novel artificial bee colony algorithm is proposed based on quadratic interpolation (QIABC),which keep the balance of the global search and local search. Numerical experiments show that the improved artificial bee colony algorithm has great advantage in function evaluation times,convergence preformance and robustness,which shows that the improved method is effective. |
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| Keywords: | Artificial Bee Colony Quadratic Interpolation Optimization function |
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