A comprehensive overview on variants of CUCKOO search algorithm and applications

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2017-12-01 DOI:10.1109/ICEECCOT.2017.8284569

Spoorthi Rakesh, S. Mahesh

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引用次数: 4

Abstract

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.

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全面概述了CUCKOO搜索算法的变体及其应用

本研究全面介绍了一种相干优化算法布谷鸟搜索及其变体和应用。布谷鸟搜索技术(Cuckoo search technique)是受自然启发的最佳算法之一，也是元启发式优化算法，由Yang和Deb于2009年设计并实现。CS算法是一种非常高效的算法，它模拟了杜鹃类鸟类的一个重要特征，即专性巢寄生。在这篇文章中，我们分析了布谷鸟搜索算法及其变体的洞察力，这归功于它成功地应用于广泛的具有各种修改的全局优化问题。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，识别蛋白质复合体，最优潮流，风能预测，侧叶减少，铣削操作，饲料转发应用等。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)

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