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中文摘要：
元启发式算法已经成为现今复杂优化问题的有效解决方法,最近Yang和Deb提出了一种新的元启发式算法——布谷鸟搜索算法,该算法源于布谷鸟的孵育寄生行为。本文通过典型的基准测试函数测试了算法的性能,实验结果表明了算法的优越性。最后,就测试结果进行了分析并对下一步的研究作出了展望。
英文摘要：
The growing complexity of real-world problems has motivated scientists to search for efficient problem-solving methods.Metaheuristic algorithms are becoming an important part of modern optimization.A new metaheuristic optimization algorithm,called Cuckoo Search（CS）,was developed recently by Yang and Deb.This optimization algorithm is inspired by the life of a bird family,called Cuckoo.Application of the proposed algorithm to some benchmark functions have indicated that the proposed approach is a powerful search and optimization technique that may yield better solutions than those obtained using current algorithms.We discuss the unique search features used in CS and the implications for further research.
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