| 一种改进的变步长自适应蝙蝠算法及其应用 |
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| 引用本文： | 张宇楠,刘付永.一种改进的变步长自适应蝙蝠算法及其应用[J].广西民族大学学报,2013,19(2):51-54,81. |
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| 作者姓名： | 张宇楠 刘付永 |
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| 作者单位： | 广西民族大学理学院,广西南宁,530006 |
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| 基金项目： | 中国博士后基金，广西教育厅项目，广西民族大学项目 |
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| 摘 要： | 提出一种变步长自适应BA算法，该算法在一定程度上可以避免算法过早陷入局部最优，且步长随迭代次数的增加而自适应地调整，从而使算法在后期获得精度更高的解；运用6个标准测试函数进行实验，结果表明，与BA算法相比，该算法的收敛速度及精度均有明显提高．
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| 关 键 词： | 全局优化 局部最优 蝙蝠优化算法 自适应 |
Improved Variation Step Adaptive Bat Algorithm and Application |
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| ZHANG Yu-nan
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LIU Fu-yong.Improved Variation Step Adaptive Bat Algorithm and Application[J].Journal of Guangxi University For Nationalities(Natural Science Edition),2013,19(2):51-54,81. |
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| Authors: | ZHANG Yu-nan LIU Fu-yong |
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| Institution: | (College of Science, Guangxi University of Nationalities, Nanning 530006,China) |
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| Abstract: | An improved Variation Step Adaptive Bat Optimization（VSAGBA） algorithm is proposed to solve the problem of slow convergence and low precision and easy to fall into local optimization of the Bat Optimization algorithm. It endows a big initial step to each bat. The step is decreased dynamically along with the increase of iteration so that the algorithm can get more precise solution in the end of the algorithm. Experimental results with six test function show convergence speed and precision is dramatically improved, which testifies that VSABA is a valid method to solve the global optimization problem. |
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| Keywords: | global optimization local optimum Bat Optimization（BA） algorithm adaptive |
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