| 自适应步长的细菌觅食优化算法研究 |
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| 引用本文： | 李珺,党建武,卜锋.自适应步长的细菌觅食优化算法研究[J].兰州铁道学院学报,2013(6):10-14. |
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| 作者姓名： | 李珺 党建武 卜锋 |
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| 作者单位： | 兰州交通大学电子与信息工程学院,甘肃兰州730070 |
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| 基金项目： | 甘肃省教育厅科研基金资助（1204-13） |
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| 摘 要： | 细菌觅食优化算法是一种群集智能优化算法,该文详细分析了细菌觅食优化算法中最重要的趋向性操作,其中步长对算法的效率和精度有很大影响;根据菌群中细菌个体间的位置信息,设计了动态步长估值函数,自适应的调整步长.通过经典函数的测试,说明改进细菌觅食优化算法在收敛速度和精度上比原有算法有极大提高.
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| 关 键 词： | 群集智能 细菌觅食优化算法 趋向性操作 步长 迁徙操作 复制操作 |
Study on Adaptive Step Length Bacterial Foraging Algorithm |
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| LI Jun,DANG Jian-wu,BU Feng.Study on Adaptive Step Length Bacterial Foraging Algorithm[J].Journal of Lanzhou Railway University,2013(6):10-14. |
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| Authors: | LI Jun DANG Jian-wu BU Feng |
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| Institution: | (School of Electronic and Information Engineering, l.anzhou Jiaotong University, Lanzhou 730070, China) |
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| Abstract: | Bacterial foraging optimization algorithm is a swarm intelligence optimization algorithm. The de- tailed analysis of the impact of steps of the chemotaxis operation on the efficiency and accuracy of the algo- rithm is made, then the dynamic step evaluation function and the adaptive adjustment of step length for the algorithm are put forward according to the individual position of bacterial flora. The classic function tests showed the improved bacterial foraging optimization algorithm is better than the original in convergence speed and accuracy. |
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| Keywords: | swarm intelligence bacterial foraging optimization algorithm chemotaxis dynamic step re- production elimination and dispersal |
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