Cuckoo Search Optimization-A Review

被引:158
作者
Joshi, Anuja. S. [1 ]
Kulkarni, Omkar [1 ]
Kakandikar, G. M. [2 ]
Nandedkar, V. M. [3 ]
机构
[1] Zeal Coll Engn & Res, Mech Engn, Pune 41, Maharashtra, India
[2] MAEERS MIT Kothrud, Pune 38, Maharashtra, India
[3] Shri Guru Govind Singhji Inst Engn & Technol, Prod Engn, Nanded, India
关键词
Cuckoo Search Optimization; Applications;
D O I
10.1016/j.matpr.2017.07.055
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Cuckoo Search algorithm is a recently developed meta-heuristic optimization algorithm, which is used for solving optimization problems. This is a nature-inspired metaheuristic algorithm, which is based on the brood parasitism of some cuckoo species, along with Levy flights random walks. Normally, the parameters of the cuckoo search are kept constant for certain duration, this results into decrease the efficiency of the algorithm. To make a deal with this issue, a proper strategy for tuning the cuckoo search parameters is to be defined. Cuckoos are fascinating birds, not only because of the beautiful sounds they can make but also because of their aggressive reproduction strategy. Some species such as the Ani and Guira cuckoos lay their eggs in host bird nest, and they may remove others eggs to increase the hatching probability of their own. In this paper, cuckoos behaviour & their egg laying strategy in the nests of other host birds is explained. (C) 2017 Published by Elsevier Ltd. Selection and Peer-review under responsibility of the Committee Members of International Conference on Advancements in Aeromechanical Materials for Manufacturing (ICAAMM-2016).
引用
收藏
页码:7262 / 7269
页数:8
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