| 差分进化算法研究及其应用 |
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| 引用本文： | 万东.差分进化算法研究及其应用[J].科学技术与工程,2009,9(22). |
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| 作者姓名： | 万东 |
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| 作者单位： | 广东交通职业技术学院,广州,510650 |
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| 摘 要： | 针对一种新兴的进化算法--差分进化算法,介绍了该算法的基本原理、算法流程和控制参数选择, 然后利用差分进化算法求解了多元函数的极值问题.差分进化算法具有随机选取初始值的优点,数值实验结果表明了该方法的正确性和有效性.
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| 关 键 词： | 差分进化算法 多元函数的极值 最小值 |
| 收稿时间： | 2009/8/17 0:00:00 |
| 修稿时间： | 2009/8/24 0:00:00 |
The Research and Application Based on Differential Evolution Algorithm |
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| wandong.The Research and Application Based on Differential Evolution Algorithm[J].Science Technology and Engineering,2009,9(22). |
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| Authors: | wandong |
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| Abstract: | aimed at a recently developed evolution algorithm, differential evolution algorithm, the principle, process and parameters of differential evolution algorithm are introduced and analyzed systematically, then we establish differential evolution algorithm for extremum problems of multivariate function. This method has advantage of choosing initial point randomly; the reliability and efficiency of this algorithm are demonstrated by some numerical experiments |
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| Keywords: | differential evolution algorithm extremum value of multivariate function minimum value |
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