English

Cuckoo Search: State-of-the-Art and Opportunities

Neural and Evolutionary Computing 2018-06-06 v1 Optimization and Control

Abstract

Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been applied in a diverse range of applications. This paper first outlines the key features of the algorithm and its variants, and then briefly summarizes the state-of-the-art developments in many applications. The opportunities for further research are also identified.

Keywords

Cite

@article{arxiv.1806.01631,
  title  = {Cuckoo Search: State-of-the-Art and Opportunities},
  author = {Xin-She Yang and Suash Deb},
  journal= {arXiv preprint arXiv:1806.01631},
  year   = {2018}
}

Comments

4th IEEE Conference on Soft Computing and Machine Learning (ISCMI2017), Mauritius, 23-24 Nov 2017