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首页> 外文会议>2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques >A comprehensive overview on variants of CUCKOO search algorithm and applications
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A comprehensive overview on variants of CUCKOO search algorithm and applications

机译：关于CUCKOO搜索算法及其应用的变体的全面概述

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摘要

This research work introduces a comprehensive study about a coherent optimization algorithm Cuckoo search, its variants and applications. Cuckoo search technique is one among the best algorithms which is inspired by nature and also metaheuristic optimization algorithms, which was designed and implemented by Yang and Deb in 2009. CS algorithm has been established as, a very efficient algorithm, which emulates an important feature of cuckoo species bird i.e., obligate brood parasitism. In this tract, we are analyzing the insight of cuckoo search algorithm and its variants, which owes to apply successfully for extensive range of global optimization problems with assorted modifications. The practices of cuckoo search algorithm can be registered as structural engineering problems, image processing techniques, identifying protein complexes, optimal power flow, wind energy forecasting, side lobes reduction, milling operations, feed forwarding applications and so on.
机译：这项研究工作介绍了有关相干优化算法杜鹃搜索，其变体和应用的全面研究。布谷鸟搜索技术是受自然启发的最佳算法之一，也是由Yang和Deb在2009年设计和实现的元启发式优化算法。CS算法已被认为是一种非常有效的算法，它模仿了Cuckoo的重要特征。布谷鸟种鸟，即专性寄生。在这一方面，我们正在分析布谷鸟搜索算法及其变体的见解，这要归功于成功地将其广泛应用于具有各种修改的各种全局优化问题。布谷鸟搜索算法的实践可以注册为结构工程问题，图像处理技术，识别蛋白质复合物，最佳功率流，风能预测，旁瓣减少，碾磨操作，进料应用等。

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