计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (10): 68-71.
• 理论研究、研发设计 • 上一篇 下一篇
郑洪清1，周永权1，2
出版日期:
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ZHENG Hongqing1, ZHOU Yongquan1，2
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摘要： 针对布谷鸟搜索算法（CS）后期收敛速度慢、计算精度不高等不足，提出了一种自适应步长调整布谷鸟搜索算法，加快布谷鸟搜索算法的搜索速度，提高其计算精度。通过8个标准测试函数测试的结果表明，改进后的自适应步长布谷鸟搜索算法具有较快的收敛速度和较高的寻优精度。
关键词: 布谷鸟搜索算法, 自适应步长, 标准测试函数
Abstract: Aiming at the faults that Cuckoo Search algorithm cannot acquire exactly and converge slowly in the later period, this paper presents a self-adaptive step adjustment cuckoo search algorithm, which speeds up the cuckoo search algorithm speed and improves the calculation accuracy. The simulation results show the improved self-adaptive step cuckoo search algorithm can search for global optimization more quickly and precisely.
Key words: Cuckoo Search algorithm（CS）, self-adaptive step, testing functions
郑洪清1，周永权1，2. 一种自适应步长布谷鸟搜索算法[J]. 计算机工程与应用, 2013, 49(10): 68-71.
ZHENG Hongqing1, ZHOU Yongquan1，2. Self-adaptive step cuckoo search algorithm[J]. Computer Engineering and Applications, 2013, 49(10): 68-71.
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