OCNEAOAug 22, 2014

Cuckoo Search: Recent Advances and Applications

arXiv:1408.5316v11041 citations
Originality Synthesis-oriented
AI Analysis

It provides a synthesis for researchers interested in optimization algorithms, but is incremental as it focuses on reviewing existing work.

The paper reviews the cuckoo search algorithm, analyzing its mechanisms and applications in global optimization problems, but does not present new experimental results or concrete numbers.

Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and CS is efficient in solving global optimization problems. In this paper, we review the fundamental ideas of cuckoo search and the latest developments as well as its applications. We analyze the algorithm and gain insight into its search mechanisms and find out why it is efficient. We also discuss the essence of algorithms and its link to self-organizing systems, and finally we propose some important topics for further research.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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