CUCKOO SEARCH ALGORITHM FOR OPTIMIZATION PROBLEMS-A LITERATURE REVIEW AND ITS APPLICATIONS

被引：63

作者：

Mohamad, Azizah Binti ^{[1
]}

Zain, Azlan Mohd ^{[1
]}

Bazin, Nor Erne Nazira ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Comp, Soft Comp Res Grp, Utm Skudai 81310, Johor, Malaysia

来源：

APPLIED ARTIFICIAL INTELLIGENCE | 2014年 / 28卷 / 05期

关键词：

Data fusion - Object oriented programming - Optimization - Pattern recognition - Problem solving - Wireless sensor networks;

D O I：

10.1080/08839514.2014.904599

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cuckoo Search (CS) is an optimization algorithm developed by Yang and Deb in 2009. This article describes an overview of CS, which is inspired by the life of a bird family, as well as an overview of CS applications in various categories for solving optimization problems. Optimization is a process of determining the best solution to make something as functional and effective as possible by minimizing or maximizing the parameters involved in the problems. The categories reviewed are Engineering, Pattern Recognition, Job Scheduling, Networking, Object-Oriented Software (Software Testing), and Data Fusion in Wireless Sensor Networks. From the reviewed literature, CS is mostly applied in the engineering area for solving optimization problems. The objective of this study is to provide an overview and to summarize the review of applications of the CS.

引用

页码：419 / 448

页数：30

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