Engineering optimisation by cuckoo search

University of Cambridge · Bridge University

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Abstract

A new metaheuristic optimisation algorithm, called Cuckoo Search (CS), was developed recently by Yang and Deb (2009). This paper presents a more extensive comparison study using some standard test functions and newly de-signed stochastic test functions. We then apply the CS algorithm to solve
\nengineering design optimisation problems, including the design of springs and welded beam structures. The optimal solutions obtained by CS are far better than the best solutions obtained by an efficient particle swarm ptimiser. We will discuss the unique search features used in CS and the implications for fur-ther research.

Citation impact

1,572
total citations
FWCI
68.03
Percentile
100%
References
16
Citations per year

Authors

2

Topics & keywords

Keywords
  • Cuckoo search
  • Computer science
  • Cuckoo
  • Psychology
  • Machine learning
  • Biology
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